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I Use of Frequency Response Analysis to Detect Transformer Winding Movement A report submitted to the school of Engineering and Information Technology, Murdoch University in partial fulfilment of the requirement for the degree of Bachelor of Engineering Ibrahim Mohammed Ahmed Thesis Final Report 2013 Supervisor: Dr Sujeewa Hettiwatte Co-Supervisor: Dr Greg Crebbin

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I

Use of Frequency Response

Analysis

to Detect

Transformer Winding

Movement

A report submitted to the school of Engineering and Information Technology,

Murdoch University in partial fulfilment of the requirement for

the degree of Bachelor of Engineering

Ibrahim Mohammed Ahmed

Thesis Final Report 2013

Supervisor: Dr Sujeewa Hettiwatte

Co-Supervisor: Dr Greg Crebbin

II

Declaration

Accept where indicated, this thesis project is my own work. The submission conforms to the

Murdoch University’s academic integrity commitments. I support a copy of my thesis when placed in

the University Library, being accessible for loans and photocopying subject in accordance to the

Copyright Act 1968.

Ibrahim M. Ahmed

22 of November 2013

III

Acknowledgements

All praise is due to the creator of the heaven and earth who has blessed with the opportunity to

study at a higher institution of learning like Murdoch University. I am full of admiration for Dr

Sujeewa Hettiwatte for his invaluable mentoring throughout my thesis project. I would also like to

express a gratitude to the Murdoch engineering academics for their excellent and active help during

my 4 years bachelor degree studies. Thank you to Dr Greg Crebbin for facilitating the opportunity to

start the journey in the first place.

I am grateful to my university colleagues for their support and encouragement. Special thanks to

Mohamoud Sagaale, Nisar Jaffrey and Clement Ayeni.

Finally, I am in debt to my mother for her overwhelming support and sincere advice. Also the

support from my family and friends has been immense during my university journey.

IV

To my beloved parents,

Zeinab and Mohammed

V

Contents Page

Contents Declaration .............................................................................................................................................. II

Acknowledgements ................................................................................................................................ III

Dedications ............................................................................................................................................ IV

Nomenclatures ..................................................................................................................................... VIII

Abbreviations ......................................................................................................................................... IX

List of Figures .......................................................................................................................................... X

List of Tables .......................................................................................................................................... XI

Abstract ................................................................................................................................................. XII

Chapter 1 ................................................................................................................................................. 1

1.1 Problem statement ....................................................................................................................... 1

1.2 Motivation ..................................................................................................................................... 1

1.3 Literature Review .......................................................................................................................... 2

1.4 Thesis Objectives ........................................................................................................................... 3

Chapter 2 ................................................................................................................................................. 4

2.1 Introduction .................................................................................................................................. 4

2.2 Frequency response analysis ........................................................................................................ 4

2.3 FRA measurement setup ............................................................................................................... 5

2.4 Description of 6.6kV transformer ................................................................................................. 6

2.5 Transformer core .......................................................................................................................... 7

2.6 Transformer material .................................................................................................................... 8

2.7 Types of windings .......................................................................................................................... 9

2.7.1 Layer type ............................................................................................................................... 9

2.7.2 Continuous disc type ............................................................................................................ 10

Chapter 3 ............................................................................................................................................... 11

Electrical Parameter Calculations ..................................................................................................... 11

3.1 Introduction ................................................................................................................................ 11

3.2 Series capacitance ....................................................................................................................... 12

3.3 Inductance................................................................................................................................... 14

3.4 Ground Capacitance .................................................................................................................... 15

Chapter 4 ............................................................................................................................................... 18

VI

Modelling a transformer winding ..................................................................................................... 18

4.1 Introduction ................................................................................................................................ 18

4.2 Different proposed models ......................................................................................................... 19

4.3 Lumped parameter model .......................................................................................................... 20

4.4 Measuring methodology ............................................................................................................. 22

4.4.1 SFRA Measurand .................................................................................................................. 22

4.5 Fault diagnosis using SFRA .......................................................................................................... 23

4.5.1 Types of analysis .................................................................................................................. 23

4.6 Frequency range ......................................................................................................................... 24

4.7 Frequency response analysis ...................................................................................................... 25

Chapter 5 ............................................................................................................................................... 26

Results ................................................................................................................................................... 26

5.1 Introduction ................................................................................................................................ 26

5.2 Case 1 .......................................................................................................................................... 27

5.3 Case 2 .......................................................................................................................................... 28

5.4 Case 3 .......................................................................................................................................... 29

5.5 Case 4 .......................................................................................................................................... 30

5.6 Case 5 .......................................................................................................................................... 31

5.7 Case 6 .......................................................................................................................................... 32

5.8 Discussion .................................................................................................................................... 33

Conclusion ............................................................................................................................................. 35

Recommendation for further work....................................................................................................... 36

The frequency at which core winding impact can be neglected ...................................................... 36

Model improvement ......................................................................................................................... 36

Software package for computation .................................................................................................. 36

Appendices ............................................................................................................................................ 37

Appendix A. Transformer data .......................................................................................................... 37

Appendix B. Series capacitance calculation ...................................................................................... 38

Turn to turn capacitance ............................................................................................................... 38

Disc to disc capacitance ................................................................................................................ 38

Series capacitance ......................................................................................................................... 39

Appendix C. Inductance Calculation ................................................................................................. 40

A general approach ....................................................................................................................... 40

Lyle’s method for rectangular cross-section coils used for thesis ................................................ 41

VII

Appendix D. Ground capacitance calculation ................................................................................... 42

Appendix E. Matlab code for case 1 ................................................................................................. 44

Appendix F. Matlab code for case 2 .................................................................................................. 45

Appendix G. Matlab code for case 3 ................................................................................................. 46

Appendix H. Matlab code for case 4 ................................................................................................. 47

Appendix I. Matlab code for case 5 .................................................................................................. 48

Appendix J. Matlab code for case 6 .................................................................................................. 49

Appendix K. simpowersystem Block diagrams inputs ...................................................................... 50

Primary circuit ............................................................................................................................... 50

Case 1 ................................................................................................................................................ 51

Case 2 ................................................................................................................................................ 52

Case 3 ................................................................................................................................................ 52

References ............................................................................................................................................ 53

VIII

Nomenclature

o Permittivity of free space

r Relative permittivity of inter-turn insulation

o Permeability of free space

*

p Relative permittivity of inter-disc insulation

*

pb Relative permittivity of inter-disc spacers

l Length of 2 discs

ir Inner radius

or Outer radius

Single sided insulation paper thickness of turns

Angle subtended by a key spacer at the centre

D Depth of inter-turn

sC Series capacitance

gC Ground capacitance

L Inductance

ttC Turn to Turn capacitance

ddC Disc to disc capacitance

S Width of spacers

mR Mean radius

h Turn height

w Turn width

NB Number of turns

A Cross-section area

R Reluctance

IX

Abbreviations

CB Bushing Capacitance

CTC Continuously transposed cable

FEM Finite element method

FRA Frequency response analysis

HV High voltage

LV Low voltage

MTL Multiple transmission line model

SFRA Sweep frequency response analysis

X

List of Figures

Figure 1: Experiment setup of the system .............................................................................................. 5

Figure 2: Front view of 6.6kV transformer .............................................................................................. 6

Figure 3: Core type of transformer ......................................................................................................... 7

Figure 4: Shell type of transformer ......................................................................................................... 7

Figure 5: layer type winding .................................................................................................................... 9

Figure 6: Continuous disc type winding ................................................................................................ 10

Figure 7: Disc pair of a continuous winding .......................................................................................... 12

Figure 8: Cdd configuration .................................................................................................................... 13

Figure 9: Lyle’s method for rectangular cross section coils .................................................................. 14

Figure 10: Representation of the LV and HV core ................................................................................ 15

Figure 11: LV and HV calculation configuration .................................................................................... 15

Figure 12: Portrayal of the spacers ....................................................................................................... 16

Figure 13: Equivalent electrical network .............................................................................................. 21

Figure 14: Effect of series capacitance using impedance measurement .............................................. 27

Figure 15: Effect of inductance using impedance measurement ......................................................... 28

Figure 16: Effect of ground capacitance using impedance measurement .......................................... 29

Figure 17: Effect of series capacitance using transfer function ............................................................ 30

Figure 18: Effect of increase in inductance on the primary circuit using transfer function ................. 31

Figure 19: Effect of ground capacitance on the primary circuit using transfer function ...................... 32

XI

List of Tables

Table 1: Calculated model parameter values ....................................................................................... 17

Table 2: list of SFRA measurement reporting ....................................................................................... 24

Table 3: Transformer parameter and fault type relationship ............................................................... 25

Table 4: Element by element fault simulation ...................................................................................... 26

Table 5: Effect of 20% increase in the various electrical parameter on the Frequency response

analysis magnitude and phase (relative to the fingerprint) ................................................................. 33

XII

Abstract

In this thesis, a study of continuous disc type 6.6kV transformer winding was utilised to investigate

winding deformation by means of frequency response analysis (FRA). The equivalent electrical circuit

is based on the lumped parameter model. Transformer elements include series capacitance, ground

capacitance and inductance. The calculation were based on 6.6kV transformer design specification

data sheet.

The values of the parameters were changed in order to simulate a likelihood of failure on the

windings, which would correspond to unique frequency range spectrum. The FRA simulation range

is from 10 kHz to 2 MHz. Then sensitivity analyses were performed to assess the accuracies of the

two types of measurand: transfer function (

) and trans impedance (

).

Matlab/simpowersystem software was used for simulation analysis and the bodeplot command was

implemented to graph the magnitude and phase of the equivalent circuit (healthy circuit) and circuit

with introduced fault. A linear frequency scale was utilised in order to compare the small differences

at certain frequency bands. This thesis presents FRA which includes sweep frequency response

analysis (SFRA), the measurement techniques and interpretation of SFRA measurement.

In this thesis, a simulation model of a continuous disc type 6.6kV transformer was utilised to study

frequency response analysis (FRA) which includes SFRA. The model was based on lumped

parameters using circuit elements of series capacitance, inductance and ground capacitance. Faults

were simulated through change in value of series capacitance, inductance and ground capacitance. .

It was found that an increase of 20% in inductance, which corresponds to disc deformation and local

breakdown faults etc. alters the FRA signature over the entire frequency range (10 Hz-2 MHz). On

the other hand a change in series capacitance and ground capacitance which correlates to disc

movement faults occurs only at frequencies above 400 kHz.

1

Chapter 1

1.1 Problem statement

Power transformers play a central role within the electrical transmission and distribution network. A

malfunctioning in the service can cause far reaching consequence. The economic costs of

maintenance and the loss of electrical power are some of the major concerns. The bulk of

transformers now in service were commissioned before 1970’s and as consequence the majority of

the population has surpassed their design life [1]. During a fault, the transformer experiences

mechanical forces which are enforced on the windings. If these forces surpass the capability of the

transformer, winding distortion can occur [2].

Although transformers are robust and can survive numerous short circuit faults without complete

failure, the impact of significant winding deformation reduces lifespan incrementally due to locally

amplified electromagnetic pressure [3]. Therefore it is fundamental to identify any winding

distortion as quickly as possible and take appropriate remedial acts.

Traditional techniques have proven insufficient in detecting internal faults and winding movements

in transformers [4]. However frequency response analysis has shown to be a commanding diagnostic

method in detecting transformer winding deformation. The testing method is fairly simple since the

development of specific FRA test equipment. The interpretations of the results remain a grey area

and are usually left to experts to determine the type and location of fault [5].

1.2 Motivation

In this thesis, a 6.6 kV power transformer winding will be simulated and the FRA signature will be

obtained. Then FRA signals under a variety of deformed conditions will be simulated and the results

will be compared to that of the healthy 6.6kV transformer

Studies under taken in this thesis will help to build a repository of FRA signals, which will aid in

identifying any winding movement.

2

1.3 Literature Review

The extracts in the main body of this research has been published in the following journals and

conference schedules:

In 2000 Islam [6] mentioned that an FRA spectrum can be categorised into three distinct frequency

ranges; low, medium and high. A ladder network was used for modelling the high voltage winding.

Series capacitance was discarded for the low frequency range and inductance was neglected for the

higher frequency range. Then a FRA sensitivity study of the transformer parameter change was

undertaken.

In 2002 Hettiwatte et al. [7] conducted research utilising a continuous disc type 6.6kV transformer

winding, which is the same transformer windings used in this report. The model was based on multi-

conductor transmission line theory and employed a single turn as the circuit model. The capacitance,

inductance, and losses were calculated as distributed parameters. This paper argues that magnetic

flux penetration into the laminated core can be ignored at higher frequencies above 1 MHz with self-

inductance mainly present. Furthermore sensitivity analysis was carried out using the impedance

measurement to examine the effect of increase in series capacitance, inductance and conductance

on the initial circuit model.

In 2006 Abeywickrama, Serdyuk, and Gubanski [8] proposed an advanced model of the frequency

response of a three phase power transformer with diagnostic measurements using FRA. The model

takes into account the complex permittivity of insulation of material (i.e. paper, pressboard and air)

through its interaction with the frequency. It utilises a lumped parameter model to simulate the

frequency response, with the calculations based on the finite elemet method.

In 2009 Wang, Li, and Sofian [9] put forward that winding structure is one of the main factors that

affects FRA response. The paper explains that high series capacitance displays an FRA increasing

trend of magnitude, and on the other hand a lower series capacitance exhibit steady FRA magnitude

with features of resonance. This paper offers a great introduction into the topic. It gives values for

electrical parameters which can be compared with the values used in this thesis project.

Article by Shintemirov et al. 2010 [10] employs a distributed parameter model for detecting minor

winding deformation. The author suggests that minor winding faults can be detected at a frequency

range above 1 MHz. This article is particularly useful for gaining good knowledge for the ground

capacitance sensitivity studies.

3

In 2011 Small and Abu-Siada [11] introduced a new alternative method for analysing FRA results

using polar plots. The technique is simple and automated so expertise for a data interpretation can

be eliminated. This research shows relationships between physical parameters like series

capacitance, ground capacitance and inductance and fault type relationship.

1.4 Thesis Objectives

During the literature review in section 1.3, the following areas were targeted for further studies.

These include:

Estimating the key parameters of 6.6kV, 1MVA high voltage winding

Finite element modelling has been a popular approach for determining the circuit parameters in the

literature. The objective of this thesis is to derive analytically, formulas for calculating series

capacitance, shunt capacitance and inductance with the aid of the physical dimensions of winding as

per project specification.

Simulation of transformer model and obtaining it FRA signature

Research indicates that FRA is the most established sensitive method for detecting mechanical

faults in power transformers. An objective of this work is to obtain a model that can be used in

SimPowerSystem, which is a toolbox in Matlab software to simulate the transformer model and

obtaining the FRA signature of the transformer.

FRA interpretation of winding deformation

Papers, by Hettiwatte et al. and Abeywickrama et al. [6,8] show that deformation in transformer

winding can be simulated by changing the parameter values in the model. The goal of this thesis is to

make FRA interpretations by simulating a winding deformation in the transformer, then confirming

that the model parameter approximations would correctly reflect winding distortion.

4

Chapter 2

2.1 Introduction

In this chapter, the FRA concept is introduced which is the main technique employed for the

analysis. The experiment configuration for testing is also shown. Secondly, the construction of 6.6kV

transformer is discussed. Transformer cores are grouped into two types; the shell type and the core

type. The core type is illustrated with a circular winding around a quasi-circular core. The insulation

of the transformer system consists of air, paper and pressboard.

2.2 Frequency response analysis

FRA is a proactive technique used for the detection of deformation in power transformer windings.

Distortions in the transformer windings can be the result of forces due to high short circuit current,

damage during transportation and installation etc. [12]. FRA technique poses advantages in terms of

its extraordinary sensitivity. It is based on the principles that change in windings as a result of

deformation and displacements correspond to modification in the impedance of the transformer

and accordingly results in alteration of its frequency response spectrum [13].

Frequency response analysis includes sweep frequency response analysis (SFRA) and low voltage

impulse (LVI). The literature study on the topic indicates Dick and Erven introduced the FRA concept

[14]. “The method utilises a sweep generator to apply sinusoidal voltages at different frequencies to

one terminal of the transformer”. The output amplitude and phase signals from selected terminals

of the transformer can then be plotted as a function of frequency. This definition is consistent with

the SFRA method used by engineers currently and will be sourced for this thesis.

Features that make SFRA attractive over LVI include: better signal to noise ratio, enhanced

repeatability and reproducibility. Also the SFRA method is less dependent of measuring equipment

according to research [13].

5

2.3 FRA measurement setup

Currently the FRA testing is done when the transformer is in offline mode. A good deal of

preparation is needed before testing can be carried out safely. The transformer needs to be

disconnected from the rest of the network. The recommendation is that FRA testing is performed

when the transformer is under maintenance or after refurbishing commissioning following a major

fault [6]. The test configuration for such work is shown in Figure 1. If testing were carried in the field,

the measurement equipment needed include a spectrum analyse, properly shield 50 ohms coaxial

cable and a bushing capacitance (220pF). The bushing capacitance acts as an insulation device for a

safe passage of electrical energy through an earth field [15].

The most common three FRA measurement techniques used currently are: the end to end voltage

ratio, the input impedance and the transfer voltage ratio measurement [6]. In this thesis, the FRA

measurement from one phase of the 3-phase, 6.6kV, 1MVA high voltage winding was made using

the input impedance. The neutral end is solidly connected to earth and the low voltage winding is

short circuited at earth potential.

Figure 1: Experiment setup of the system [15]

6

2.4 Description of 6.6kV transformer

Figure 2 show the construction of the 6.6kV continuous disc winding. It comprises of HV and LV

winding transformer, with 22 discs as shown. The arrangement is in the form of a vertical stack,

wherein air space is between two adjacent discs. Each disc consists of 13 turns wound continuously

in cylindrical style [16]. The excess air space is referred to as a duct which is utilised for oil circulation

[17]. Moreover each HV disc comprises 13 turns wound spirally alongside of its adjacent turns. The

figure below is the shaping of 1 phase only.

Figure 2: The front view of 6.6Kv transformer [17]

7

2.5 Transformer core

The two types of transformer core construction used are shown in Figures 3 and 4. The

configuration of core type is for circular primary and secondary windings to be organized

concentrically around the core leg of significantly circular cross section [18]. The laminations are

stacked and from manufacturing prospective need minimum iron to manufacture. The zero

sequence flux dissipates through the insulation surrounding the core. So in essence this type of core

is useful for balanced load operations [19].

On the other hand the shell type transformer, the magnetic circuit is of rectangular cross section

moulded via stack of lamination of constant width. This core has an appropriate magnetic path for

zero sequence flux. Hence it is suitable for unbalanced operation [19].

In terms of application, the core type is more popular than the shell type for all power system

applications. The shell type finds relevance in very heavy current, low voltage outputs for example

arc furnace or short circuit testing applications. Although shell type is used in countries such as the

USA and France, economic consideration is slow shifting a growing trend towards construction of

core type transformer [19].

Figure 3: The core form type of transformer [19] Figure 4: The shell type of transformer [19]

8

2.6 Transformer material

Paper covered conductor is a popular winding deployed for medium and large power transformers.

These conductors commonly consist of individual strips, bunch or continuously transposed cable

(CTC) type. CTC are used in high current rated transformers on low voltage side (LV) because they

exhibit better spacing factor and reduced eddy current losses in the winding. The epoxy-bonded

types of CTC conductors enhance the short circuit strength [20].

In the low voltage side of transformers, copper and aluminium foil usage are favoured. Properties

such as high temperature and ductility make a copper material attractive use for high current rated

transformers. Conductors with improved thermally upgraded insulating paper are appropriate for

hot-spot temperature of about ~1100 C, they help in managing overload conditions. Moreover,

epoxy diamonded dotted paper improves the mechanical properties and can be utilised as an

interlayer insulation for multilayer windings. High temperature superconductors shall be accessible

commercially in the upcoming years, but economic feasibility and reliability need to be examined

before deployment. [20]

9

2.7 Types of windings

Winding type choice is dependent on the impulse voltage behaviour. Other important considerations

include thermal and current rating of the transformer.

2.7.1 Layer type

Layer winding can extend from a single layer to multiple layers. The single layer or two layer type is

utilised for low voltage windings, with low impulse level and large current. The disadvantage of this

type of winding is the short distance over the top or the bottom of the winding in radial direction.

This distance is meant for the transient voltage creepage path over the winding. “Creepage path

refers to the shortest path between two conducting parts with the voltage difference measured

along the surface of insulation” [21]. The insulation stressed along the surface cannot tolerate

voltage, contrasted to the stress perpendicular to surface.

Improvements can be made to increase the creepage path using tapered layers. This will allow it to

withstand higher nominal voltage withstand because of improved transient voltage distribution.

Figure 5: layer type winding [21]

10

2.7.2 Continuous disc type

This type of winding has advantage in terms of extended creepage path between the beginning and

end terminal. Application of this type of winding goes up to the highest transient voltage. Figure 6

shows a continuous disc type winding with 11 turns per disc. Overall this technique diminishes the

required insulation thickness, insulation distance while also increasing transient voltage tolerance

capacitance [22]. The one of interest in this thesis is the continuous disc type.

Figure 6: Continuous disc type winding [22]

11

Chapter 3

Electrical Parameter Calculations

3.1 Introduction

Model parameter estimations are usually based on physical arrangements and the dimensions of the

winding. In practice some generalization and approximation of winding geometrical structure can be

considered which will allow for establishing an analytical formula [5]. Through the use of modern

computation, geometric simplification can be circumvented by using the finite element method for

parameter calculation [23]. In both scenarios the frequency dependent behaviour of elements

should be accounted for as well as the frequency dependence of insulation properties.

Under impulse situations, a very fast voltage pulses are injected in to a transformer. This comprises

of high frequency elements, prompting capacitance effect that are absent at normal operating

frequencies [21]. In this thesis, the capacitance and inductance of the lumped circuit model will be

approximated reasonably well by means of an analytical formulae using design specification of the

6.6kV transformer.

12

3.2 Series capacitance

The series capacitance of a physical system is defined by its geometry and relative permittivity of

the dielectric material. The series capacitance is represented by two components: turn to turn

capacitance (Ctt) and disc to disc capacitance (Cdd). The capacitance that exists between two adjacent

conductors separated by dielectric is referred to as turn-turn capacitance and is shown in Figure 7.

The Ctt is determined by using the parallel plate capacitor formula [21]:

(1)

Where is the relatively permittivity of inter-turn insulation, is permittivity of free space (air),

is area of the model and is the single sided inter-turn insulation thickness.

Figure 7: Disc pair of a continuous winding [21]

Similarly, the total disc to disc (axial) capacitance determination is based on two parallel plates with

two dielectrics as depicted in Figure 8. Two capacitances are connected in parallel in the duct,

namely the capacitance of the portion containing the key spacer and the capacitance which consists

of air thickness. The capacitance of the discs can be defined by summation of elementary

capacitance of C1, C2 which are the inter-turn and inter disc capacitance respectively:

The lumped parameter for Cdd is then given by:

(2)

13

Figure 8: Cdd configuration [21]

Once the two components are established namely the inter-turn and inter disc, the total series

capacitance of a continuous winding can be determined by assuming the voltage distribution is non-

linear across within the disc winding [21]. If ND is the number of turns in a disc, then the number of

inter-turn capacitance in each disc is (ND -1). The numbers of inter-section capacitance are equal to

ND. With NDW discs in the winding, the series capacitance for the whole winding can be calculated as

[21]:

(3)

14

3.3 Inductance

In assessing inductance, it is assumed that magnetic flux penetration in the laminated iron is

negligible at frequencies above 1 MHz [19]. So in essence an accurate winding model requires the

calculation of the self –inductance only.

The magnetizing inductance can be calculated with [21]:

(4)

Where N is the number of turns in the winding, R is the reluctance of the magnetic path

(

), is the length of magnetic path. For 2 discs, A is the cross sectional area of disc and

is the permeability of free space.

However, according [15] a more accurate method of modelling inductance is done by using Lyle’s

method. For calculating inductance let us consider Figure 9.

d

h

w

Figure 9: Lyle’s method of calculating inductance for rectangular cross section coils [15]

The following expression can be used to calculate the self-inductance of rectangular coil cross-

section [15]:

2

(5)

Where is the mean radius of the LV and HV for 2 discs, is the number of turns per disc. The

second part of the equation requires dimension of turn conductor turn given by which is the

rectangular transversal section and GMD is the geometrical mean radius given by [15]:

(

)

(

)

15

3.4 Ground Capacitance

The transformer consists of the core, surrounding by LV and HV windings as shown in Figure 10. The

and b symbols signify the inner and outer radius of the LV and HV windings. A configuration for the

calculating capacitance between LV and HV windings is depicted in Figure 11. The ground

capacitance calculations also known as shunt capacitance is based on the dimension of windings.

The windings are treated as concentric cylinders. Appropriate correction factor is needed to account

for the effects of key spacers in between the windings as shown in Figure 12.

a

b

Figure 10: Representation of the LV and HV core [24]

Figure 11: LV and HV calculation configuration [24]

16

s

R1

R2

Figure 12: Portrayal of the spacers [24]

The capacitances between coils in the high voltage winding are computed by considering a

configuration of concentric cylinders by means of [25] and the individual capacitance can be worked

out with the following formulas:

Where is the permittivity of free space, is the number of inter-disc spacers, is the angle

subtended by spacer at centre (given by =

=

), is relative permittivity of

respective cylinder and spacer. is the outer radius of LV winding as illustrated in Figure 11 .

equals plus the thickness of the LV/HV spacers. Similarly equals plus the thickness of the

cylinder between the LV and HV windings and the formulation can be extended to take account of

the thickness of the HV dovetail spacers for . is the outer radius of HV winding.

The calculation of is simpler since the key spacer effect is not present [24]:

The process can then be protracted for and using the above formulas and finally the required

ground capacitance per unit length is obtained as:

(6)

17

The final values of calculated series capacitance, inductance and shunt capacitance are presented

are shown in Table 1.

Table 1: Calculated model parameter values for two discs

Parameter symbol Description Value

Cs Series Capacitance 7.909pF

Cg Shunt Capacitance 13.92pF

Ls Self-Inductance 532.958µH

18

Chapter 4

Modelling a transformer winding

4.1 Introduction

Various analytical methods have been employed in recent decades for transformer modelling. Some

of the methods have drawbacks in terms of detailed depiction of real transformer geometry but

have been utilised due to their simplicity for analysing deformed windings.

On the topic of modelling, suitable methods for determining elementary parameters have to be

studied in order to select the most suitable technique for the thesis objective. For this thesis

frequency range of interest is from 10 kHz to 2MHz.

High frequency behaviour of windings is identified by their resonances (i.e. transfer function maxima

and minima). The introduction of mechanical displacement will alter these characteristic properties.

From an operational requirement, the type and location of faults are imperative. These relations can

be established by measurements on the power transformer or through the use of appropriate model

of the transformer for simulation.

In this chapter, modelling of a high frequency characteristic of a 6.6 kV continuous disc type

transformer winding is presented. The modelling methodology is found on the parameter

formulation derived from the physical geometry and dimension of transformer using data in

Appendix 1. The procedure takes into account winding design and the dependency of losses on

frequency.

19

4.2 Different proposed models

Transformer modelling can be classified into two main categories, the black box (or terminal) models

and detailed (or physical) models. The black box modelling approach finds application in insulation

coordination of HV and EHV systems [24]. The models parameters can be established from

frequency or time domain measurement on complete transformer or otherwise from physical

models [26]. It lacks topological structures and hence outcomes can result in complicated functions

to estimate [26]. The modelling leads to node to node impedance function model [26]. The

admittance matrix represents interaction between terminal nodes of the network. From transformer

design engineer’s perspective, the black box model fails in representing winding displacement, since

it just presents the behaviour of the transformer on its terminals. [24]

On the other hand, detailed (or physical) model comprises of large network of capacitance and

coupled inductance from the discretization of distributed self and mutual winding inductances and

capacitances. Parameter computation involves field problems and necessitates information on the

physical layout and construction details of the transformer. This type of model permits profound

understanding of the observed response and is powerful in the fault diagnosis. Property privileges by

manufacturers may restrict information availability [27]. The physical models can further be

categorised into the following:

Leakage inductance model – the founding work was established by Blume and further

approaches were instigated by others; [28,29]. The three phase multi winding generalisation

was obtainable by Brandwajn et al [30]. Moreover, Dugan and others used this procedure

with the technique for the modelling of multi-section transformers. These models signified

adequately the leakage inductance of the transformer (load or short circuit conditions) but

the iron core is not sufficiently addressed.

Principle of duality model- the approach was presented by Cherry [31] and comprehensively

updated by Slemon [32]. With this model, iron core can be modelled accurately. However,

the disadvantage of such a model is that they inadequately represent the leakage

inductance, while the derivation is based on leakage flux ignoring the thickness of the

winding. Studies by Edelmann and Krahenbuhl et al [30] have amended those inaccuracies

when the magnetic field is assumed axial.

20

Electromagnetic field model- this approach is deployed in the computation design

parameters of massive transformers. The finite element approach is the conventional

numerical solution for field problems [33]. There are also other alternative techniques for

solving the problem according to the following articles [32,34]. This model fails in the

calculation of transients because the simulations are expensive.

The methods discussed above relate mainly to the inductances in the transformer model, since this

presents enormous task in the transformer modelling. The investigations through the literature

study show that among the different approaches of the detail modelling, the lumped parameter

model is the most suitable for modelling of 13 kV/ 275 kV /400 kV ,1000 MVA , continuous disc type

transformer windings with continuous disc type high voltage.

4.3 Lumped parameter model

The lumped parameter model has been used in many work including [7] and is shown that:

A complete lumped-element model of the transformer can be built by means of a series n-

stage ladder network as illustrated in Figure 13. In this equivalent circuit, the elements of

the lumped units are modelled from a continuous disc type winding.

Cs, Cg and Ls denote the series capacitance, ground capacitance and self- inductance, all per

unit length and calculated per turn basis.

The 50Ω resistance is excluded when the simulation is performed in SimPowerSystem in

order to obtain a transient waveshape that is entirely undamped.

The model is utilised in chapter 5 to show the sensitivity of the impedance measurement

and transfer function as a monitoring tool to detect winding movement in transformers.

21

Figure 13: The lumped parameter equivalent electrical network

22

4.4 Measuring methodology

In order to fully understand the SFRA some notions must be introduced [36]:

Measurand: refers to the specific quantity under measurement

Method of measurement: refers to the steps involved in the procedure, termed specifically, is

implemented in the performance of measurement and is derived scientifically

Measurement procedure: fixed actions, detailed specifically, utilised in the performance of the

measurement conferring to a set technique.

4.4.1 SFRA Measurand

There exist two possible potentials of measurand in the application of SFRA method. The transfer

function (Vout/Vin) and trans-impedance measurement (Vin/Iout). Where Vout is the out voltage, Vin is

the input voltage and Iout is the output current. According to literature [37], the transfer function

acquired from voltage ratio (Vout/Vin) has no link with the impedance measurement. The voltage

ratio (Vout/Vin) is the most commonly used as transfer function to the measurand. The purpose for

using the impedance or voltage ratio transfer functions has yet to be concisely explained in

literature.

Although research [38] argues that admittance measurement is typically less sensitive to slight

geometric modification than voltage ratio measurement because the necessary current transformers

rending a small output signal. Similarly [18, 38] use both types of measurement techniques to

establish diagnosis criteria.

23

4.5 Fault diagnosis using SFRA

The sensitivity of SFRA has been broadly tested in numerous works [14, 24 and 37] as a tool for fault

simulation experiments and real case studies of transformer examinations. Numerous types of faults

can be detected by SFRA , this include winding movement, winding deformation, loss of clamping

pressure at the end terminals of windings, inter-turn faults and multiple core grounding etc.

There has been consensus between experts [39,40] that major faults that are caused by large

movements of the core or winding can be identified in the low frequency range. While the minor

faults which include inter-turn faults are identified in the high frequency range.

The disadvantage of the SFRA as a diagnostic method is that there are no standard processes to

analyse and deduce the measurement. Regularly, the diagnosis work is performed by specialists

through the aid of visual inspection and mathematical parameters. The examination depends on

factors such as the type of recording used for comparison, the topographies extracted from the

frequency response etc. These factors are account below:

4.5.1 Types of analysis

The SFRA method is built on the analysis of frequency response recordings taken during the lifespan

of the transformer. There are two prospects [41]:

Analysis with known reference recordings. It is assumed that a set of historical copy offering a

healthy state of the transformer is accessible.

Analysis without reference recordings. If reference recordings are unavailable of the transformer

there are two possibilities:

Analysis using recordings which belong to different phases of the same transformer.

As part of asymmetric character of the transformer, various phases exhibit different

characteristics. This methodology is beneficial in that measurement is made under

the equivalent circumstances.

On the other hand, analysis can be done using a twin transformer. The comparison

is made on the basis of recording from an identical transformer either new or old

with same representation. This present issues since construction characteristic of a

transformer that matches operational conditions are difficult to find.

24

4.6 Frequency range

Table 2 shows a list of references reporting SFRA measurements. The first column displays if the

measured magnitude was an trans-impedance (Vin/Iout) or transfer function (Vout/Vin). The second

column demonstrates the frequency range, which varies from 10 Hz to 10 MHz. From the literature

it is established that the measurement of up to 10 MHz were conducted, but it is concluded that the

upper limit of importance is 2 MHz [38].

Table 2: list of SFRA measurement reporting

Measurement Frequency Reference

Impedance 100 Hz to 1 MHz

[1,43]

Transfer function up to 2 MHz [37,23]

Transfer function 20 kHz to 2 MHz

[35]

Transfer function 1 kHz to 1 MHz [12]

Transfer function 1 kHz to 450 kHz

[21]

Transfer function 10kHz to 3MHz [20]

Impedance/transfer function 1 kHz to 10 MHz

[4]

25

4.7 Frequency response analysis

Transformer winding deformation categories have been highlighted in literature [42] with the

following key points noted:

Frequencies of [<20 kHz], have been attributed to inductive components readily featuring in

the transformer winding response of impedance of transfer function

Frequencies in the range of [20-400 kHz], capacitance and inductive parameter mixtures

yield numerous resonances

Higher frequency range [>400 kHz], the capacitance component leads the frequency

response signature.

Further description of the related fault types are presented in Table 3 [3].

Table 3: Transformer parameter and fault type relationship

Parameter Fault category

Series Capacitance The fault is associated with degrading of the insulation through aging

Shunt Capacitance

Disc breakdown as result of mechanical forces, loss of clamping pressure, disc movements and moisture admission

Inductance Winding short circuits, local degradation and disc deformation

26

Chapter 5

Results

5.1 Introduction

The purpose of this chapter was to introduce discrete changes to series capacitance, inductance and

ground capacitance at designated positions along the windings and plot that simultaneously with the

healthy transformer winding model. The element by element fault simulations for the case studies

are presented in Table 4 as shown below. The first three cases represent terminal impedance

analysis and remaining cases exemplify transfer function analysis. In each case study, the quantum

amendment and its location are known prior, thereby rendering verification of the two analysis

results. The case examples studies are presented as follows:

Table 4: Element by element fault simulation

Fault Fault parameters Fault location Trans-Impedance Transfer Function

Cs1 20% increase in Cs Discs 1-2 Case 1 Case 4

Cs5 20% increase in Cs Discs 9-10

Cs9 20% increase in Cs Discs 17-18

L2 20% increase in L Discs 3-4 Case 2 Case 5

L6 20% increase in L Discs 11-12

L11 20% increase in L Discs 21-22

Cg3 20% increase Cg Discs 5-6 Case 3 Case 6

Cg7 20% increase Cg Discs 13-14

Cg10 20% increase Cg Discs 19-20

27

5.2 Case 1

This example pertains to condition wherein the series capacitance is changed. This is achieved by

increasing the series capacitances at discs 1-2, discs 9-10 and discs 17-18. The series capacitance is

increased by 20% while inductance and ground capacitances remain unchanged. This fault is to

mimic series capacitance changes due to aging of insulation, which diminishes insulation dielectric

strength and hence affects series capacitance. The impedance was measured accordingly using the

Matlab/Simpower code (see appendix E). Figure 14 presents the effect of increase in series

capacitance. As seen from the figure 14, an increase in series capacitance results in reduction in

resonant frequencies of the discs under study and the magnitude and phase characteristics shifts

leftwards at frequencies above 1MHz.

Figure 14: Series capacitance using impedance measurement

28

5.3 Case 2

This is an example wherein the type of fault represented relates to disc deformation through local

breakdown and the parameter affected is inductance. The positions of the windings simulated are

L2, L6 and L11 and the inductance values are increased by 20% at these positions. All other aspects

of the original transformer remain constant. The coded algorithm simulated in Matlab/Simpower for

the impedance measurement is attached (see appendix F).Table 4 summarises the element values

used for the simulation, while Figure 15 depicts the effect of inductance on terminal impedance.

Figure 15 shows the traditional bodeplot of the healthy transformer (blue) and the faulty

transformer signature (green). Increase in inductance has similar effect to that of series capacitance

with reduction in all frequencies at the relevant discs indicated by leftward shift of the green dashed

lines. Compared to changes in Cs, change in L has effect on lower frequencies as well (from 400kHz

upwards).

Figure 15: Effect of inductance using impedance measurement

29

5.4 Case 3

Possibility of detection and location of disc movements, buckling due to large mechanical forces and

moisture ingress will predominantly affect shunt capacitances anywhere along the. This was

examined by increasing the shunt capacitances by 20% at the winding positions Cg3, Cg7 and Cg10.

With these conditions imposed, impedance measurement was computed using Matlab/Simpower

code (see appendix G). Figure 16 shows bodeplot comparison of primary value of Cg (blue) and 20%

increase in Cg values at designated positions (green). It is evident from Figure 16 that increase in Cg

by 20% shifts the magnitude and phase leftward. A change in Cg has affected resonant frequencies

in the impedance. The Effect is marginally visible at around 400kHz and the visibility increases with

increase in frequency.

Figure 16: Effects of ground capacitance on impedance measurement

30

5.5 Case 4

Next, the same procedure for Case 1 was repeated now with transfer function measurement instead

of impedance measurements with changing values of series capacitance. The Matlab/Simpower

code is attached (see appendix H). Figure 17 illustrates the comparison of healthy measurement and

the introduction of the fault, from which we can see that the results are identical to Case 1.

Figure 17: Effects of series capacitance using transfer function

31

5.6 Case 5

As in Case 2, inductance values L2, L6 and L11 are increased by 20%, the transfer function command

is utilised with the implemented code in appendix I. The bodeplot analysis is shown in Figure 18. As it

can be seen, the resonance frequencies change with the presence of the fault. The amplitude

decreases and phase shifts to left.

Figure 18: Effects of increase in inductance on the transfer function

32

5.7 Case 6

To investigate the effects of ground capacitance, the Cg values in winding positions Cg3, Cg7 and

Cg10 are increased by 20%. Transfer function measurements were repeated with the code in

appendix J. The results were identical to Case 3.

Figure 19: Effects of ground capacitance on the transfer function

33

5.8 Discussion

The main body of the thesis results are presented in Table 5.

Table 5: Shows the effect of 20% increase in the various electrical parameter on the Frequency response analysis magnitude and phase (relative to the fingerprint)

Parameter Variation

Frequency range

Low (<20kHz) medium (20-400 kHz) High (>400 kHz)

20% increase in CS No effect No effect

Magnitude and phase resonant frequencies slightly decreased

20% increase in LS

Magnitude and phase resonant frequencies decreased

Magnitude and phase resonant frequencies decreased

Magnitude and phase resonant frequencies decreased

20% increase in Cg No effect No effect

Magnitude and phase resonant frequencies decreased

As a product of these case studies, the results can be summarised as follows:

The equivalent circuit plots with parameter variations taken into account are divided into

three distinct bands of low, medium and high frequency. The frequency response analysis

are obtained using the power_analyze and bodeplot for the impedance measurement

whereas the transfer function are obtained using power_analyze, ss2tf, tf and bodeplot all

from the MATLAB command Signal Processing Toolbox. The function of power_analyze

computes the equivalent state-space model of the specified electrical model built within

SimpowerSystems software. Also the ss2tf converts state space filter parameters to transfer

function form whereas tf command creates transfer function model. Finally the bodeplot

function graphs the magnitude and phase of the dynamic system [43].

The phase response was also considered, although magnitude response for the diagnosis

analysis was the main parameter. If phase response is utilised it must be correctly

represented. When the phase is shown from -90 to +900 (-π/2 and π/2 rad) there are some

jumps when the angle exceeds one of the limits. An algorithm that wraps the phase was

used as a wrap function (MATLAB’s Signal Process Toolbox) [43].

34

Effect of increasing the series capacitance by 20% on the primary circuit in order to mimic

disc deformation, local breakdowns etc. is pronounced of frequencies higher than 1 MHz.

There is slight decrease in magnitude and phase shifts to left.

The principle finding of increasing inductance by 20% starts below 200 kHz frequency and is

more prominent close to 2 MHz. This can be explained by the amount of magnetic flux

probing the transformer core at low frequencies is significant, hence the core characteristic

affect the FRA signature at low frequencies [2]. Similarly at higher frequencies the magnetic

flux encompasses the core and the transformer capacitance components dominate the

response. The 20% increase in inductance imitates winding movement fault. Again

magnitude and phase shift to left to indicate the presence of the fault.

Increase in ground capacitance reflects a winding movement and loss of clamping pressure.

The loss of clamping pressure is associated with aging transformers [13]. It is the result of

mechanical hysteresis in pressboard and paper insulation [13]. Increase in ground

capacitance results in decrease resonant and antiresonant frequencies (i.e. local minimum

and local maximum) with small decrease in magnitude. Additionally the phase shifts to the

left to indicate the fault.

35

Conclusion

Currently, there is great interest in sweep frequency response analysis (SFRA) due its great

sensitivity in detecting mechanical deformation in the power transformers. Moreover the majority of

transformers installed in Australia and worldwide are approaching or have exceeded their life span.

Hence it is vital to identify any winding faults and take suitable direct action. In this thesis, a

simulation model of a continuous disc type 6.6kV transformer was utilised to study frequency

response analysis (FRA) which includes SFRA. The model was based on lumped parameters using

circuit elements of series capacitance, inductance and ground capacitance. Faults were simulated

through change in value of series capacitance, inductance and ground capacitance.

Impedance measurement and transfer function sensitivity analysis were conducted, to evaluate

which of the two methods is more accurate in modelling winding movement. It was found that an

increase of 20% in inductance, which corresponds to disc deformation and local breakdown faults

etc. alters the FRA signature over the entire frequency range (10 Hz-2 MHz). On the other hand a

change in series capacitance and ground capacitance which correlates to disc movement faults

occurs only at frequencies above 400 kHz.

A table listing parameter elements and fault correlations alongside the associated change in FRA

signature was assembled. This information can be a great tool in the preparation of standard codes

for power transformer FRA signature interpretation. Identical trends are observed for the

impedance and transfer function plots indicating that both techniques are very sensitive in the

detection of winding movement in transformer.

36

Recommendations for further work

There are some aspects of this thesis project that can be improved upon. These include a more

comprehensive analysis of the contribution of inductance to the transformer core, model

improvement and use of software package for computation.

The frequency at which core winding impact can be neglected

In this thesis, it was assumed that at higher frequency of 1 MHz or more the contribution of the core

to winding inductance can be considered negligible [4]. It would be more fitting to determine how

the permeability of the transformer core varies with frequency. After that, practical confirmation of

the frequency at which the contribution of the core to inductance is ignored can be determined for

this particular 6.6 kV transformer.

Model improvement

The use of hybrid model for detecting winding deformation has been very promising. This type of

model is more accurate and exceeds the accuracy of the lump parameter model [38]. The model

combines the strength of the lumped parameter model and the multiple transmission line model

(MTL). MTL is based on the principle that every turn of the transformer winding can be treated as a

transmission line. These lines are parallel with each other and with the ground. Moreover, the

windings are also designed as continuous type disc type, thus making it an easy implementation for

future work in this project [38].

Software package for computation

There has been a growing trend towards the use of finite element method (FEM) by engineers. FEM

method, which is a computer software package, allows the computation of parameters and the

calculation is independent of geometry [44]. The calculations of inductance values and electrical field

analysis, which are important phenomena of transformer, have been successfully implemented [37].

It would be very useful if analytical method adopted in this project can be verified by FEM as part of

the thesis objective.

37

Appendices

Appendix A. Transformer data

38

Appendix B. Series capacitance calculation

Turn to turn capacitance

W W

h

τ

d

12

1

2

0.2677 0.230 r= 0.24885

2

0.01375

= single sided inter turn insulation=0.0002

2

1.9548 8.85 10 2 0.24885 0.01375929.8349

2 0.0002

r o

tt

tt

D m

A rhD

where

h

AC

C pF

Disc to disc capacitance

1

12

1

2

12

2

1.9548 8.85 10 2 0.24885 0.0025

0.0002

338.207

1 8.85 10 2 0.24885 0.0025

0.0045

7.686

r o

air o

Ac

c

pF

Ac

d

c

pF

39

Inter disc

1 1 2

1 1 1 1

7.3518 pF

ddc c c c

Series capacitance

2 2

12 12

2 2

( 1)( 1) ( 1)(2 1)24

62

2 (13 1) (22 1) (13 1)(2 13 1)929.8349 10 4 7.35 10

22 6 132 13 22

7.909

DWD D D

s tt dd

DW DD DW

s

S

NN N NC C C

N NN N

C

C pF

40

Appendix C. Inductance Calculation

A general approach 2

7

2

7

=

2 discs

0.01375 2 0.0045 0.032

13 number of turns per disc

D=depth

A=0.032 1

=4 10

26849.487

0.032

4 10 0.032

self

self

self

NL

lwhere

A

L for

l

N

A h D

where

L H

Where o is the permeability constant of 4 710 , N the number of turns per disc and l length

of for 2 discs

41

Lyle’s method for rectangular cross-section coils used for thesis

2

2

2 2 1 1

2 2 2 2

2 2 2 2

7

8( 2)

( 8 2)

1 2 2 ( ) tan tan

2 3 3

25(1 ) (1 )

1212 12

permeability 4 10

turn heigh=13.75mm

w=turn width=2.5mm

radius

m

s o m

s o m m

o

m

RL R NB In

GMD

L R NB In R InGMD

w h h wIn GMD In h w

h w w h

w h h wIn In

h w w h

H

m

h

R

0.2677 0.230

of mean discs= 248.852

for 2 discs=497.7mm

number of turns=13

mm

NB

2 2 1 1

2 2 2 2

2 2 2 2

1 2 0.0025 0.01375 2 0.01375 0.0025 (0.01375 0.0025 ) tan tan

2 3 0.01375 0.0025 3 0.0025 0.01375

0.0025 0.01375 0.01375 0.0025 25(1 ) (1 )

1212 0.01375 0.0025 12 0.0025 0.01375

6.3538

In GMD In

In In

7 24 10 0.4977 13 ( 8 0.4977 ( 6.3538) 2)

532.958

s

s

L In

L H

42

Appendix D. Ground capacitance calculation

2C

bIn

a

s

R1

R2

1

1

1 2

2

S r

S width of spacers

r mean radius

w

R R

1 0.2033

2 1 / 0.2033 0.0103 0.2136

3 2 & 0.2136 0.0103 0.2196

4 3 0.2196 0.0

R outer radius of LV winding

R R thickness of LV HV spacers

R R thickness of cylinder between LV HV

R R thickness of HV dovetail spacers

128 0.2324

5 0.2677R Outer radius of HV winding

a

b

43

0 1 0 1 1

1

2

1

12 12

1

0 1

2

3

2

12

2

0 2 0 3 2

3

4

3

(2 )

0.012 0.0128.85 10 (2 10 ) 8.85 10 4 10

0.20845 0.20845 1434.37900.2136

0.2033

2

8.85 10 4 28029.0290

0.2196

0.2136

(2 )

N NC

RIn

R

C pF

In

CR

InR

C pF

In

N NC

RIn

R

12 12

3

0 4

4

5

4

12

4

1 2 3 4

0.010 0.0108.85 10 (2 10 ) 8.85 10 4 10

0.226 0.226 1188.900.2324

0.2196

2

8.85 10 4 21572.94

0.2677

0.2324

1 1 1 1 1

is the length of electrode for tw

g

C pF

In

CR

InR

C pF

In

C C C C C

where

o discs=0.032

1 1 1 1 1

0.032 1434.3790 8029.0290 1188.900 1572.94

13.92

g

g

C

C pF

44

Appendix E. Matlab code for case 1

Matlab code for case 1

% command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit sys1=power_analyze('original','ss'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Cs, only for discs 1-2, 9-10 and 17-

18 sys2=power_analyze('cs20','ss'); %Defines range frequencies for analysis freq=0:2000000; w=2*pi*freq;

%% plots simulation bodeplot(sys1,'b',sys2,'-.g',w)

leg=legend('sys1','sys2')

45

Appendix F. Matlab code for case 2

Matlab code for case 2

% command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit sys1=power_analyze('original','ss'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Ls, for L2, L6 and L11 sys2=power_analyze('L20','ss'); %Defines range frequencies for analysis freq=10:2000000; w=2*pi*freq;

%% plots simulation bodeplot(sys1,'b',sys2,'-.g',w) leg=legend('sys1','sys2')

46

Appendix G. Matlab code for case 3

% command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit sys1=power_analyze('original','ss'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Cg sys2=power_analyze('cg20','ss'); %Defines range frequencies for analysis freq=10:2000000; w=2*pi*freq;

%% plots simulation bodeplot(sys1,'b',sys2,'-.g',w)

leg=legend('sys1','sys2')

47

Appendix H. Matlab code for case 4

%defines range frequencies for analysis freq = 10:2000000; w = 2*pi.*freq; % command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit [A,B,C,D] = power_analyze('original'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Cs [E,F,G,H] = power_analyze('cs20'); %ss2tf converts a state-space representation of system 1 and 2 to an %equivalent transfer function representation [a,b] = ss2tf(A,B,C,D,1); [c,d] = ss2tf(E,F,G,H,1); % creates a continous-time transfer function with numerator and % denominator specified by a and b for system 1 and c and d respectively

for system 2 sys1=tf(a,b); sys2=tf(c,d);

%% plot h=bodeplot(sys1,'b',sys2,'-.g'); %change units to Hz and make phase plot invisible setoptions(h,'freqUnits','Hz'); axis([0 2000000 -100 250]); leg=legend('sys1','sys2')

48

Appendix I. Matlab code for case 5

%defines range frequencies for analysis freq = 10:2000000; w = 2*pi.*freq; % command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit [A,B,C,D] = power_analyze('original'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Cs [E,F,G,H] = power_analyze('L20'); %ss2tf converts a state-space representation of system 1 and 2 to an %equivalent transfer function representation [a,b] = ss2tf(A,B,C,D,1); [c,d] = ss2tf(E,F,G,H,1); % creates a continuous-time transfer function with numerator and % denominator specified by a and b for system 1 and c and d respectively

for system 2 sys1=tf(a,b); sys2=tf(c,d);

%% plot h=bodeplot(sys1,'b',sys2,'-.g'); %change units to Hz and make phase plot invisible setoptions(h,'freqUnits','Hz'); axis([0 2000000 -100 250]); leg=legend('sys1','sys2')

49

Appendix J. Matlab code for case 6

%defines range frequencies for analysis freq = 10:2000000; w = 2*pi.*freq; % command returns a state-space model representing the continuous-time % state-space model of the primary electrical circuit [A,B,C,D] = power_analyze('original'); % command returns a state-space model representing the continuous-time % state-space model of 20% increase in Cs [E,F,G,H] = power_analyze('cg20'); %ss2tf converts a state-space representation of system 1 and 2 to an %equivalent transfer function representation [a,b] = ss2tf(A,B,C,D,1); [c,d] = ss2tf(E,F,G,H,1); % creates a continuous-time transfer function with numerator and % denominator specified by a and b for system 1 and c and d respectively

for system 2 sys1=tf(a,b); sys2=tf(c,d);

%% plot h=bodeplot(sys1,'b',sys2,'-.g'); %change units to Hz and make phase plot invisible setoptions(h,'freqUnits','Hz'); axis([0 2000000 -100 250]); leg=legend('sys1','sys2')

50

Appendix K. Simpowersystem Block diagrams inputs

Primary circuit

This block shows the series capacitance and inductance values imputed for the primary circuit

simulation

The value of bushing capacitance

51

The value of ground capacitance used for the simulation

Case 1

Shows the value of series capacitance increased by 20% keeping all other parameters constant for

the sensitivity analysis of case 1

52

Case 2

Illustrates the 20% increase in inductance value for the sensitivity study of impedance and transfer

function

Case 3

Displays the ground capacitance value which is increased by 20% for the sensitivity analysis

53

References

[1] Figueroa, EJ. 2009. Managing an aging fleet of transformers. Paper read at Proc. 6th Southern

Africa Regional Conf., CIGRE.

[2] Fogelberg, Thomas. 2008. "Surviving a short-circuit." Behind the plug:24.

[3] Islam, Syed M, and Gerard Ledwich. 1996. Locating transformer faults through sensitivity

analysis of high frequency modeling using transfer function approach. Paper read at

Electrical Insulation, 1996., Conference Record of the 1996 IEEE International Symposium on.

[4] Minhas, MSA, JP Reynders, and PJ De Klerk. 1999. Failures in power system transformers and

appropriate monitoring techniques. Paper read at High Voltage Engineering, 1999. Eleventh

International Symposium on (Conf. Publ. No. 467).

[5] Cigré, WG. "A2/26,“Mechanical condition assessment of transformer windings using

Frequency Response Analysis (FRA)”." Electra (228).

[6] Islam, SM. 2000. Detection of shorted turns and winding movements in large power

transformers using frequency response analysis. Paper read at Power Engineering Society

Winter Meeting, 2000. IEEE.

[7] Hettiwatte, S. N., P. A. Crossley, Z. D. Wang, A. Darwin, and G. Edwards. 2002a. Simulation of

a transformer winding for partial discharge propagation studies. Paper read at Power

Engineering Society Winter Meeting, 2002. IEEE, 2002.

[8] Abeywickrama, KG Nilanga B, Yuriy V Serdyuk, and Stanislaw M Gubanski. 2006. "Exploring

possibilities for characterization of power transformer insulation by frequency response

analysis (FRA)." Power Delivery, IEEE Transactions on no. 21 (3):1375-1382.

[9] Wang, Zhongdong, Jie Li, and Dahlina M Sofian. 2009. "Interpretation of transformer FRA

responses—Part I: Influence of winding structure." Power Delivery, IEEE Transactions on no.

24 (2):703-710.

[10] Shintemirov, A, WJ Tang, WH Tang, and QH Wu. 2010. "Improved modelling of power

transformer winding using bacterial swarming algorithm and frequency response analysis."

Electric Power Systems Research no. 80 (9):1111-1120.

[11] Ji, TY, WH Tang, and QH Wu. 2012. "Detection of power transformer winding deformation

and variation of measurement connections using a hybrid winding model." Electric Power

Systems Research no. 87:39-46.

[12] Bagheri, Mehdi, Mohammad S Naderi, Trevor Blackburn, and Toan Phung. 2012. FRA vs.

short circuit impedance measurement in detection of mechanical defects within large power

54

transformer. Paper read at Electrical Insulation (ISEI), Conference Record of the 2012 IEEE

International Symposium on.

[13] Secue, JR, and E Mombello. 2008. "Sweep frequency response analysis (SFRA) for the

assessment of winding displacements and deformation in power transformers." Electric

Power Systems Research no. 78 (6):1119-1128.

[14] Dick, E. P., and C. C. Erven. 1978. "Transformer Diagnostic Testing by Frequuency Response

Analysis." Power Apparatus and Systems, IEEE Transactions on no. PAS-97 (6):2144-2153.

doi: 10.1109/TPAS.1978.354718.

[15] Hettiwatte, SN, ZD Wang, PA Crossley, A Darwin, and G Edwards. 2002b. Experimental

investigation into the propagation of partial discharge pulses in transformers. Paper read at

Power Engineering Society Winter Meeting, 2002. IEEE.

[16] Gui, Junfeng, Wensheng Gao, Kexiong Tan, and Shengyou Gao. 2003. Deformation analysis of

transformer winding by structure parameter. Paper read at Properties and Applications of

Dielectric Materials, 2003. Proceedings of the 7th International Conference on.

[17] Ang, SP, and MA Salam. 2012. Modeling of high frequency characteristic of a 6.6 kV

transformer. Paper read at Universities Power Engineering Conference (UPEC), 2012 47th

International.

[18] Kim, Jong-Wook, ByungKoo Park, Seung Cheol Jeong, Sang Woo Kim, and PooGyeon Park.

2005. "Fault diagnosis of a power transformer using an improved frequency-response

analysis." Power Delivery, IEEE Transactions on no. 20 (1):169-178.

[19] Khorasani, Pouria G, and Ali Deihimi. 2009. A new modeling of Matlab transformer for

accurate simulation of ferroresonance. Paper read at Power Engineering, Energy and

Electrical Drives, 2009. POWERENG'09. International Conference on.

[20] Kulkarni, Shrikrishna V, and SA Khaparde. 2004. Transformer engineering: design and

practice. Vol. 25: CRC Press.

[21] Popov, Marjan, Bjørn Gustavsen, and Juan A Martinez-Velasco. 2013. "Transformer Modelling

for Impulse Voltage Distribution and Terminal Transient Analysis." Electromagnetic

Transients in Transformer and Rotating Machine Windings:239.

[22] Van Nuys, R. 1978. "Interleaved high-voltage transformer windings." Power Apparatus and

Systems, IEEE Transactions on (5):1946-1954.

[23] Rahimpour, E., J. Christian, K. Feser, and H. Mohseni. 2002. "Transfer Function Method to

Diagnose Axial Displacement and Radial Deformation of Transformer Winding." Power

Engineering Review, IEEE no. 22 (8):70-70. doi: 10.1109/MPER.2002.4312519.

55

[24] Venegas, V., J. L. Guardado, S. G. Maximov, and E. Melgoza. 2009. A computer model for

surge distribution studies in transformer windings. Paper read at EUROCON 2009, EUROCON

'09. IEEE, 18-23 May 2009.

[25] Eslamian, M, B Vahidi, and SH Hosseinian. 2011. "Analytical calculation of detailed model

parameters of cast resin dry-type transformers." Energy Conversion and Management no. 52

(7):2565-2574.

[26] Liu, Yilu, Stephen A Sebo, Ross Caldecott, Donald G Kasten, and SE Wright. 1993. "Modeling

of converter transformers using frequency domain terminal impedance measurements."

Power Delivery, IEEE Transactions on no. 8 (1):66-72.

[27] Shibuya, Yoshio, Shinobu Fujita, and N Hosokawa. 1997. Analysis of very fast transient

overvoltage in transformer winding. Paper read at Generation, Transmission and

Distribution, IEE Proceedings.

[28] Dommel, Hermann W, and W Scott Meyer. 1974. "Computation of electromagnetic

transients." Proceedings of the IEEE no. 62 (7):983-993.

[29] McWhirter, JH, CD Fahrnkopf, and JH Steele. 1956. "Determination of impulse stresses

within transformer windings by computers." Power Apparatus and Systems, Part III.

Transactions of the American Institute of Electrical Engineers no. 75 (3):1267-1274.

[30] De Leon, Francisco, and Adam Semlyen. 1994. "Complete transformer model for

electromagnetic transients." Power Delivery, IEEE Transactions on no. 9 (1):231-239.

[31] Cherry, E Colin. 1949. "The duality between interlinked electric and magnetic circuits and

the formation of transformer equivalent circuits." Proceedings of the Physical Society.

Section B no. 62 (2):101.

[32] Slemon, GR. 1953. "Equivalent circuits for transformers and machines including non-linear

effects." Proceedings of the IEE-Part IV: Institution Monographs no. 100 (5):129-143.

[33] Lian, Gong, Yao Ruoping, and Chen Pizhang. 1987. "An equivalent magnetization surface

current approach of calculation 3-dimensional leakage fields of a transformer." Power

Delivery, IEEE Transactions on no. 2 (3):817-822.

[34] Chari, MVK, J D'Angelo, MA Palmo, and DK Sharma. 1986. "Application of three-dimensional

electromagnetic analysis methods to electrical machinery and devices." Energy Conversion,

IEEE Transactions on (2):145-150.

[35] Yannucci, DA, JB Templeton, and RS Girgis. 1984. "Performance Parameters of Power

Transformers Using 3D Magnetic Field Calculations." Power Apparatus and Systems, IEEE

Transactions on (9):2708-2

56

[36] Chimklai, S, and JR Marti. 1995. "Simplified three-phase transformer model for

electromagnetic transient studies." Power Delivery, IEEE Transactions on no. 10 (3):1316-

1325.

[37] Dommel, Hermann W, and W Scott Meyer. 1974. "Computation of electromagnetic

transients." Proceedings of the IEEE no. 62 (7):983-993.

[38] Sweetser, Charles, and Tony McGrail. 2003. "Sweep frequency response analysis transformer

applications." A technical paper from Doble Engineering.

[39] Hassig, M, R Braunlich, R Gysi, J-J Alff, V Der Houhanessian, and WS Zaengl. 2001. On-site

applications of advanced diagnosis methods for quality assessment of insulation of power

transformers. Paper read at Electrical Insulation and Dielectric Phenomena, 2001 Annual

Report. Conference on.

[40] Csépes, G, and I Kispál. 2003. Case stories of FRA results used to detect the winding

movement and geometric changes in power transformers (Hungarian experience). Paper

read at Cigre SC. A2, Merida Colloquium.

[41] Ryder, Simon A. 2003. "Diagnosing transformer faults using frequency response analysis."

Electrical Insulation Magazine, IEEE no. 19 (2):16-22.

[42] Minhas, MSA, JP Reynders, and PJ De Klerk. 1999. Failures in power system transformers and

appropriate monitoring techniques. Paper read at High Voltage Engineering, 1999. Eleventh

International Symposium on (Conf. Publ. No. 467).

[43] MATLAB, Ver. 2012. "7.14. 0.739 (R2012a), The MathWorks." Inc., Natick, MA.

[44] Bjerkan, E., and H. K. Høidalen. 2007. "High frequency FEM-based power transformer

modeling: Investigation of internal stresses due to network-initiated overvoltages." Electric

Power Systems Research no. 77 (11):1483-1489. doi:

http://dx.doi.org/10.1016/j.epsr.2006.08.031.