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978-1-7281-0653-3/19/$31.00 ©2019 IEEE Monitoring of Lightning Strikes and Evaluation of Energy Inflow on Substation Equipment Igor Ivanković Process and Business IT and Telecommunications Department Croatian transmission system operator Ltd. Zagreb, Croatia [email protected] Goran Levačić Development, Investment and Construction Department Croatian transmission system operator Ltd. Zagreb, Croatia [email protected] Alan Župan Development, Investment and Construction Department Croatian transmission system operator Ltd. Zagreb, Croatia [email protected] Abstract— Transmission system operators encounter new dimensions in their business operations in recent years. Huge sets of data are collected in control room and new functionalities are created for both real time and off line operations. Data from lighting detection system in control room will be used in a new way in next to real time manner. Transmission line outages caused by lightning strikes are recognized in precise manner and archived in real time. With detailed value of each lightning, it will be researched how much energy from the strike inflows to substation. Special security perimeter with three kilometers distance from substations will detect strikes. Those strikes, dangerous for equipment inside substation will be examined. Detail model of 110 kV line are modeled and various scenarios are conducted. This study work will give insights about amount of energy inflow to substation and give guidelines for making this process an automated procedure in the future. Results from this work will be used in maintenance business process in company. Keywords—lightning detection system, EMTP-RV, modeling, surge arresters, absorbed energy I. INTRODUCTION Transmission system operator (TSO) in Control room has at their disposal large amounts of data from various systems. That data is mostly accessible in real time or close to real time, in reality acting similar to smart grid situation [1], [2], [3]. Data collection and exchange between systems in control room are used for control of transmission system, but also prove useful in exploitation for maintenance purposes [4]. Smart grid application for lightning location system (LLS) is in production phase for several years [5]. This application is used in real time and as data source for later analyses, which are conducted on yearly basis and in special cases (incidents and disturbances). Paper will elaborate a proof of concepts for carrying out an influence of lightning strikes on transmission lines, on equipment in substation, such as power and metering transformers [6], [7], surge arresters [4], circuit breakers and others [8]. In addition, it can have significant influence on wiring in secondary circuits. TSO successfully finalized a second phase of LLS project. In that phase the LLS was connected with SCADA and correlation for lightning strikes and line disturbances was realized. With LLS, it is possible to detect each transmission line disconnection caused by lightning. Proof of concept (POC) was developed for analyzing the impact and effect on substation equipment. Certain overvoltages and energy reaching the substation equipment and its impacts will be the focus of this study work. POC research work will be developed in two main directions. Firstly, it will try to detect this inflow in substation with some automatic procedures and get crude estimations about energy and overvoltage. Second is to use that to develop near real time application for collecting data for report statistics, maintenance and inspection purposes. For this POC will use some standardized models for overhead lines (standard towers and standard grounding values). In LLS zones, within 3 km perimeter from substations (nearby impact), for detecting lightning strikes, which can have serious impact on circuit breakers, were established. Paper is organized in following order; in second chapter, systems in control room which are used for LLS together with key analysis results on yearly basis are presented. In third chapter elaborate study work for this POC together with detailed description of used models is shown. Some standardized overhead line model had been chosen along with detailed mathematical model. In fourth chapter, various scenarios will be run through model with elaboration of results. Different values of lightning current are considered in order to evaluate absorbed energy on surge arresters installed in line and transformer bay. Conclusion points out some directions for surge arrester’s maintenance and possible future activities in TSO control room. II. LLS IN TSO CONTROL ROOM Three systems in control room interact and exchange data to successfully detect lightning and transmission lines outages caused by lightning strikes. SCADA system operates and gives data for each of transmission elements with precise time of events. Geographical information system (GIS) provides data for transmission elements and exact location. Data for locations and times of lightning strikes are generated in LLS system. LLS system itself has module for processing above-mentioned data and as a result gives correlations between lightning and lines outages. In addition, those data are archived and used for various off line analyses and for producing a yearly statistical report, Fig. 1. Research in POC has four stages using off line data from LLS. Model of 110 kV line along with parts of substation elements is done in application EMTP-RV and calculations for few scenarios were made. This work has been supported by Croatian Science Foundation, Croatian Transmission System Operator (HOPS) and HEP Generation under the project WINDLIPS – WIND Energy Integration in Low Inertia Power System, grant no. PAR-02-2017-03.

Monitoring of Lightning Strikes and Evaluation of Energy

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Paper Title (use style: paper title)Energy Inflow on Substation Equipment
Igor Ivankovi
Telecommunications Department
dimensions in their business operations in recent years. Huge
sets of data are collected in control room and new
functionalities are created for both real time and off line
operations. Data from lighting detection system in control
room will be used in a new way in next to real time manner.
Transmission line outages caused by lightning strikes are
recognized in precise manner and archived in real time. With
detailed value of each lightning, it will be researched how much
energy from the strike inflows to substation. Special security
perimeter with three kilometers distance from substations will
detect strikes. Those strikes, dangerous for equipment inside
substation will be examined. Detail model of 110 kV line are
modeled and various scenarios are conducted. This study work
will give insights about amount of energy inflow to substation
and give guidelines for making this process an automated
procedure in the future. Results from this work will be used in
maintenance business process in company.
Keywords—lightning detection system, EMTP-RV,
modeling, surge arresters, absorbed energy
I. INTRODUCTION
Transmission system operator (TSO) in Control room has at their disposal large amounts of data from various systems. That data is mostly accessible in real time or close to real time, in reality acting similar to smart grid situation [1], [2], [3]. Data collection and exchange between systems in control room are used for control of transmission system, but also prove useful in exploitation for maintenance purposes [4].
Smart grid application for lightning location system (LLS) is in production phase for several years [5]. This application is used in real time and as data source for later analyses, which are conducted on yearly basis and in special cases (incidents and disturbances). Paper will elaborate a proof of concepts for carrying out an influence of lightning strikes on transmission lines, on equipment in substation, such as power and metering transformers [6], [7], surge arresters [4], circuit breakers and others [8]. In addition, it can have significant influence on wiring in secondary circuits.
TSO successfully finalized a second phase of LLS project. In that phase the LLS was connected with SCADA and correlation for lightning strikes and line disturbances was realized. With LLS, it is possible to detect each transmission line disconnection caused by lightning.
Proof of concept (POC) was developed for analyzing the impact and effect on substation equipment. Certain overvoltages and energy reaching the substation equipment and its impacts will be the focus of this study work. POC research work will be developed in two main directions. Firstly, it will try to detect this inflow in substation with some automatic procedures and get crude estimations about energy and overvoltage. Second is to use that to develop near real time application for collecting data for report statistics, maintenance and inspection purposes.
For this POC will use some standardized models for overhead lines (standard towers and standard grounding values). In LLS zones, within 3 km perimeter from substations (nearby impact), for detecting lightning strikes, which can have serious impact on circuit breakers, were established. Paper is organized in following order; in second chapter, systems in control room which are used for LLS together with key analysis results on yearly basis are presented. In third chapter elaborate study work for this POC together with detailed description of used models is shown. Some standardized overhead line model had been chosen along with detailed mathematical model. In fourth chapter, various scenarios will be run through model with elaboration of results. Different values of lightning current are considered in order to evaluate absorbed energy on surge arresters installed in line and transformer bay. Conclusion points out some directions for surge arrester’s maintenance and possible future activities in TSO control room.
II. LLS IN TSO CONTROL ROOM
Three systems in control room interact and exchange data
to successfully detect lightning and transmission lines outages caused by lightning strikes. SCADA system operates and gives data for each of transmission elements with precise time of events. Geographical information system (GIS) provides data for transmission elements and exact location. Data for locations and times of lightning strikes are generated in LLS system. LLS system itself has module for processing above-mentioned data and as a result gives correlations between lightning and lines outages. In addition, those data are archived and used for various off line analyses and for producing a yearly statistical report, Fig. 1.
Research in POC has four stages using off line data from LLS. Model of 110 kV line along with parts of substation elements is done in application EMTP-RV and calculations for few scenarios were made.
This work has been supported by Croatian Science Foundation,
Croatian Transmission System Operator (HOPS) and HEP Generation under the project WINDLIPS – WIND Energy Integration in Low Inertia
Power System, grant no. PAR-02-2017-03.
CONTROL ROOM SCADA SYSTEM
- data for transmission system element (object)
- data for time for every event and element in transmission network
GIS SYSTEM
- data for geographical location of transmission elements
LLS SYSTEM
PROCESSED DATA
- data for off line analyses
- data for archive for lightning strikes
PROOF OF CONCEPT Model of transmission network
- model of transmission line
- grounding resistance
DATA
- Reporting near real time
- For off line analytic
Fig. 1. Interaction between system in control room with proof of concept.
Research uses results of energy caused by lightning strikes and analyzes their impact on equipment in substation, particularly surge arresters in line and transformer bay. Diagram shows procedures done automatically in control room and POC that is done manually, Fig.1. End goal is to create application to do POC automatically.
In this work into consideration were taken lightning strikes only in perimeter of 3.000 meters from substations. This distance of impacts is considered dangerous for substation equipment like circuit breakers, instrument transformers and power transformers.
LLS operated from 2009 and continuously registered each lightning phenomena on Croatian territory, Fig. 2.
Fig. 2. Number of lightning strikes per year, blue is total number, red is
cloud-ground and green is cloud-cloud strikes.
In control room all events regarding to circuit breaker and all line outages caused by lightning strikes are monitored. In year 2017, the following statistic is generated for circuit breaker manipulations in transmission network, done by operators and relay protection systems, Fig. 3.
Fig. 3. Number circuit breaker operations in 2017.
Total number of line outages correlated and caused by lightning strikes is on Fig. 4.
Fig. 4. Number circuit breaker correlated operations in 2017 between
relay protection operatiosn and LLS.
SCADA collected all relay protection signal data and those signals are used in correlated process. In yearly statistical report many analyses are done. Fig. 5 shows values of lightning currents that are recorded on 110 kV transmission network.
Fig. 5. Lightning current amplitudes correlated with circuit breaker operations in 2017.
Table I. shows characteristic values of lightning current values for 278 circuit operations in 2017.
TABLE I. CHRACTERISTIC VALUES OF LIGHTNING CURRENT
No. Characteristic values I [kA]
1. Minimal value 2.9
2. Average value 30.0
3 Maximal values 238.8
SUBSTATION
transmission system exposed to lightning strikes and faults
that occurs on a 110 kV transmission lines and substations.
Generally, lightning strikes can cause faults on transmission
lines or substation equipment. The transmission line faults
caused by lightning can be classified into backflashovers and
flashovers due to shielding failures. In Croatian transmission
network the standard protection of overhead transmission lines
against lightning is a shield wire [7], [9], [10], [11]. Also, over
the last decade, more and more are being applied line surge
arresters (LSAs). But, even with this lightning overvoltages
can impact or damage substation equipment. Fort this purposes
substations is protected with station surge arresters (SAs) [11],
[12]. Fig. 6 shows a single line diagram of 110 kV substation
with connected transmission line where lightning strikes are
analyzed. SAs located in line and transformer bay are
indicated.
Fig. 6. Single line diagram of 110 kV substation with connected transmission
line where lightining strikes are analyzed.
To evaluate absorbed energy on SAs, 110 kV transmission
line with one shield wire entering the 110 kV substation was
modelled in EMTP-RV software according to model proposed
by IEEE WG 3.4.11 group, which includes the non-linear
resistors A0 and A1, separated by low pass filter, as it is shown
on Fig. 7 [13], [14], [15], [16].
Fig. 7. IEEE frequency dependent surge arrester model in EMTP-RV.
SAs with following characteristics have been selected for
this study: Ur=96 kVrms, MCOV=76 kV, IEC class 3 (wr=3,9
kJ/kV(Ur)), In=10 kA with nonlinear behavior presented on
Fig. 8.
Fig. 8. Nonlinear U-I characteristic of the SAs with Ur=96 kV recorded with
the current impulse 8/20 μs.
Transmission lines are modelled as frequency dependent
(FD) line model, whereby only few spans are modelled in
detail, what is enough accurate [17], [18], [19]. The tower
model used in simulations is presented in Fig. 9 and consists
of following parts: tower height represented as surge
impedance and propagation length (CP line model), footing
resistance, distances between crossarms and tower top. Tower
insulators [20] are modeled as air gap elements, whereby
flashover occurs when the following integral becomes greater
or equal to D:
where; 0 is the time-point from which became greater
than 0 and =0,2045d, where d is length of gap.
Fig. 9. Arrangement of 110 kV transmission line conductors and tower model
in EMTP-RV.
The lightning strike was represented in EMTP-RV as CIGRE
concave lightning current source, as it is shown on Fig. 10
[21].
Fig. 10. CIGRE concave lightning current source in EMTP-RV (where Imax is max. of the lightning current and Sm is max. steepness of the
lightning current rise).
5 u H
Fig. 11. Model of 110 kV transmission line and substation in EMTP-RV.
The EMTP-RV model comprising 110 kV single-circuit
transmission line and substation with one line and transformer
bay is presented on Fig. 11. Three SAs are modelled in line
and three in transformer bay (both has the same rated voltage)
[16]. Transmission line is considered without LSAs, in order
to evaluate absorbed energy on station SAs. Other substation
equipment is modelled as equivalent lumped capacitances.
IV. SIMULATIONS RESULTS
with the typical values of grounding resistances characteristic
for 110 kV lines in Croatia:
TABLE II. CASE SCENARIOS
The lightning strike which hits a top of tower (or
shielding) and a phase conductor is simulated for both case
scenarios, while absorbed energy is observed on SAs in line
and transformer bay. According to the Fig. 5, Table 1 and
according to the cumulative statistical distributions of peak
currents for negative first strikes adopted by IEEE and
CIGRE, following lightning currents are considered in
simulations; for evaluation of SAs energy when lightning hits
top of tower (or shielding) are simulated single strikes
(negative first strikes) with current amplitudes from 30 – 175
kA and for evaluation of SAs energy when lightning hits phase
conductor are simulated strikes with current amplitudes from
3 – 20 kA.
with lower grounding resistances
It is considered that a lightning strike occurring near the
substation can cause increased energy stress on substation
equipment. For this reason lightning strikes on the first tower
next to substation and on the tower located 3 km from
substation are simulated, with average footing resistance of
towers of 10 Ω.
Figure 12 shows absorbed energy of SAs for case when
lightning strike first tower next to substation. Increase of the
energy stress on SAs with increase of lightning current is
evident. Also, SAs in line bay absorbs more energy than SAs
in transformer bay, and this difference is more pronounced
with increase of lightning current amplitude. Black line
indicates SAs specific energy in kJ per kV according to
considered SAs energy class (3). It can be seen that SAs in line
bay cannot withstood the energy caused by lightning for
lightning current amplitudes higher than 125 kA.
Fig. 12. SA energies in case when lightning strike first tower next to
substation.
length
m odel in : re flex ions 30k m _rv .pun
reflex ions 30k m
s pan350m
LINE DATA
s pan200m
LINE DATA
bus bar
CP +
ba c
Fig. 13 shows absorbed energy of SAs for case when lightning
strike hits the tower located 3 km from substation. It can be
seen that SAs in line and transformer bay withstood the energy
caused by lightning, for all cases. Comparing the absorbed
energies from Fig. 12 and 13, it is evident that SAs absorbs
more energy when lightning hits the tower closer to substation.
Fig. 13. SA energies in case when lightning strike tower located 3 km from
substation.
Fig. 14 and Fig. 15 shows absorbed energy of SAs depending
on the amplitude of lightning current during the lightning
strike in a top phase conductor.
Fig. 14. SA energies in case when lightning strike top phase of first tower next
to substation.
Fig. 15. SA energies in case when lightning strike top phase of tower located 3
km from substation.
Absorbed energy of SAs when lightning strike hits a top phase
conductors is much smaller, but even if the first strike has low
amplitude, it can cause shielding failure and higher energy
stress on substation equipment, depending on the
characteristics and parameters of lightning strike (e.g. longer
tail, multiple strikes etc.).
area“ with higher grounding resistances
The same analysis was carried out for case scenario B.
Since that part of transmission lines in Croatia are located on
specific terrain, especially those in mountain and coastal areas
it is interested to see the same evaluation of SAs absorbed
energy for case with average footing resistance of towers of 60
Ω. Figure 16 shows absorbed energy of SAs for case when
lightning strike first tower next to substation. Comparing the
Fig. 16 and Fig 12, higher absorbed energy on SAs in line and
transformer bay are evident, and that SAs in line bay cannot
withstood the energy caused by lightning for lightning current
amplitudes higher than 100 kA.
Fig. 16. SA energies in case when lightning strike first tower next to
substation.
Fig. 17 shows absorbed energy of SAs for case when lightning
strike hits the tower located 3 km from substation, where also
higher values of absorbed energy comparing to Fig. 13 are
evident.
Fig. 17. SA energies in case when lightning strike tower located 3 km from
substation.
Fig. 18 and Fig. 19 shows absorbed energy of SAs depending
on the amplitude of lightning current during the lightning
strike in a top phase conductor. Slightly higher of absorbed
energy of SAs are evident, comparing to the previous case
scenario. From this observations follows that energy stress of
station SAs is lower with greater distance of the lightning
strike, and that the higher grounding resistance contributes to
increase in the energy stress of the SAs.
Fig. 18. SA energies in case when lightning strike top phase of first tower next
to substation.
Fig. 19. SA energies in case when lightning strike top phase of tower located
3 km from substation.
V. CONCLUSION
This work presents the way how SCADA and the LLS system are gathering data of the lightning strike that can impact to the equipment in the substation. Based on collected data and characteristics of lightning currents, evaluation of energy stress on 110 kV station surge arresters is performed. Lightning strikes within range of 3,000 meters from the substations were analyzed because this distance is considered as potentially dangerous for some substation equipment.
It has been shown that the SCADA system, together with the LLS system in combination with simulations on model of transmission line and substation in software EMTP-RV, can indicate the priority of maintaining the substation equipment, such as surge arresters, circuit breakers, measurement transformers, power transformers etc. in terms of energy stress.
VI. REFERENCES
[1] M. Perkov, N. Baranovi, I. Ivankovi, I. Viši, “Implementation strategies for migration towards smart grid“, Powergrid Europe 2010, Conference & Exhibition, 8-10 June 2010, RAI, Amsterdam, Netherlands, Session 3, Grid evolution I.
[2] N. Baranovi, P. Andersson, I. Ivankovi, K. ubrini-Kostovi, D. Peharda, J.E. Larsson, “Experiences from Intelligent Alarm Processing and Decision Support Tools in Smart Grid Transmission Control Centers“, CIGRE Session 46, 21-26 August 2016, Paris, France, paper D2-112.
[3] I. Ivankovi, D. Peharda, D. Novosel, K. ubrini-Kostovi, A. Kekelj, “Smart grid substation equipment maintenance management functionality based on control center SCADA data”, Journal of Energy, Vol.67, No.3, 2018, 30-35, ISSN:0013-7448.
[4] M. Gumede, G. Frederick d’Almaine, “Surge Arrester Faults and Their Causes at EThekwini Electricity”, International Journal of Electrical Energy, Vol. 2, No. 1, March 2014
[5] N. Stipeti, B. Franc, I. Ugleši, M. Mesi, I. Ivankovi, “Improving Lightning Location System and Advance Control, Maintenance and Planning of Transmission Power System using Lightning Location System Data“, International Colloquium on Lightning and Power Systems, ICLPS 2017, CIGRÉ&CIRED, Ljubljana, Slovenia, 18-20 September 2017, paper S1_3, 114, pp 1-10.
[6] B. Filipovi-Gri, B. Franc, I. Ugleši, I. Pavi, S. Keitoue, I. Murat, I. Ivankovi, “Monitoring of transient overvoltages on the power transformers and shunt reactors – field experience in the Croatian power transmission system“, 4th International Colloquium "Transformer Research and Asset Management", Procedia Engineering (1877-7058) 202 (2017), C, 29-42.
[7] IEEE Std 998™-2012, ”Guide for Direct Lightning Stroke Shielding of Substations”, 2013
[8] I. Ugleši, V. Milardi, S. Hutter, I. Ivankovi, B. Filipovi-Gri: Electromagnetic Disturbances of the Secondary Circuit in Insulated Substation Due to Disconnector Switching, International Conference on Power System Transients-IPST 2003, September 28-October 2, 2003, New Orleans, USA, paper 14-2.
[9] I.Ugleši, A. Xemard, V. Milardi, B. Mileševi, B. Filipovi-Gri, I. Ivankovi, “Reduction of Flashovers on 220 kV Double Circuits Line”, IPST 2009, Proceedings, International Conference on Power Systems Transients, June 2-6 2009, Kyoto, Japan, paper 42.
[10] B. Filipovic-Grcic, B. Franc, I. Uglešic, V. Milardic, A. Tokic, “Lightning Overvoltage Performance of 110 kV Air-Insulated Substation”, International Conference on Power Systems Transients (IPST2015) in Cavtat, Croatia June 15-18, 2015
[11] 1243-1997 - IEEE Guide for Improving the Lightning Performance of Transmission Lines, DOI: 10.1109/IEEESTD.1997.84660, 1997
[12] I. Ivankovic, R. Rubesa, and I. Kuzle, “Modeling 400 kV transmission grid with system protection and disturbance analysis,” in 2016 IEEE International Energy Conference (ENERGYCON), pp. 1–7, 2016.
[13] S. Grebovic, S. Pack, S. Sadovic, “An EMTP – RV Based Analysis of the Line Surge Arrester Energy Duty Due to Lightning Discharges”, International Conference on Power Systems Transients (IPST2015) in Cavtat, Croatia June 15-18, 2015
[14] F. Fernández, R. Díaz, “Metal-oxide surge arrester model for fast transient simulations”, IPST, Rio de Janeiro, Brazil on June 24-28, 2001.
[15] V. Hinrichsen “Arrester book: Metal-Oxide Surge Arresters in High- Voltage Power Systems”, 3rd edition, SIEMENS, 2011
[16] IEC 60099-4 Surge arresters – Part 4: Metal-oxide surge arresters without gaps for a.c. systems
[17] H. W. Dommel, EMTP Theory Book, WP 5.1. Portland, Oregon, USA
[18] Benoît de Metz-Noblat, “Lightning and HV electrical installations”,
Cahier Technique Merlin Gerin n° 168 / p.2
[19] B. Filipovic-Grcic, I. Uglešic, V. Milardic, A. Xemard, A. Guerrier, “Energy Stress of Surge Arresters Due to Temporary Overvoltages”, International Conference on Power Systems Transients (IPST2011) in Delft, the Netherlands June 14-17, 2011
[20] A. Xemard, J. Michaud, A. Guerrier, I. Uglesic, G. Levacic, M. Mesic, “Evaluation of the risk of failure due to switching overvoltages of a phase to phase insulation”, International Conference on Power Systems Transients (IPST2011) in Delft, the Netherlands June 14-17, 2011