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Page 1: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion
Page 2: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

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Page 3: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

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Page 4: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

TABLE OF CONTENTS

Computer Science1 Mapping Multiple Databases to Resource Description Framework with Additional Rules as Conclusions

Drawer

Atleiya Julianita, Saptadi Nugroho, Banu Wirawan Yohanes

5 Designing Android Reward System Application in Education to Improve Learning Quality

Ratih Isnaini, Basori Basori, Rosihan Ari Yuana, Dwi Maryono

11 Location Prediction Model using Naïve Bayes Algorithm in a Half-open Building

Banu Wirawan Yohanes, Samuel Yanuar Rusli, Hartanto Kusuma Wardana

16 A System Engineering Approach to the Implementation of the Internet of Things (IoT) in a Country

Muhammad Suryanegara, Ajib Setyo Arifin, Muhamad Asvial, Gunawan Wibisono

20 Application of Design Patterns and Quality Measurement on Academic Information Systems

Siti Rochimah, Afif Ishamsyah Hantriono, Rizky Januar Akbar, Andreyan Rizky Baskara

27 Part of Speech Features for Sentiment Classification based on Latent Dirichlet Allocation

Eka Surya Usop, R. Rizal Isnanto, Retno Kusumaningrum

31 A Multiple Classifiers Broadcast Protocol for VANET

Sami S. Alwakeel, Hesham A. Altwaijry, Agung B. Prasetijo

37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-

tion for Proofing Trading Strategy

Agung B. Prasetijo, Takdir A. Saputro, Ike P. Windasari, Yudi E. Windarto

41 Hoax Detection System on Indonesian News Sites Based on Text Classification using SVM and SGD

Agung B. Prasetijo, R. Rizal Isnanto, Dania Eridani, Yosua Alvin Adi Soetrisno, M. Arfan, Aghus Sofwan

46 Analysis of Custody Transfer on Moving Bundle Protocol of Wireless Router in Delay Tolerant Network

(DTN)

Fitri Noviani, Deris Stiawan, Sri Desy Siswanti, Tri Wanda Septian, Munawar A. Riyadi, Fahad Aljaber,Rahmat Budiarto

Electric Power50 A Bi-directional Boost Converter-Based Non-Isolated DC-DC Transformer with Modular Solid-State

Switches for Medium-/High-Voltage DC Grids

Ahmed Elserougi, Ahmed Massoud, Shehab Ahmed

56 Enhancing the DC Voltage Utilization of Twelve- Switch Voltage Source Inverter Feeding Symmetri-

cal/Asymmetrical Nine-Phase Loads

Ahmed Elserougi, Ibrahim Abdelsalam, Ahmed Massoud, Shehab Ahmed

62 Determination of the Conduction Angle for Switched Reluctance Motor Drive

Slamet Riyadi

67 Load Shedding and Forecasting in Distribution Systems with PV-based Distributed Generation and Elec-

tric Vehicles

Anas Tahir, Ahmed Massoud

73 A Three-Level Common-Emitter Current Source Inverter with Reduced Device Count

Suroso Suroso, Daru Tri Nugroho, Winasis Winasis

77 Reduction of Cogging Torque on Brushless Direct Current Motor with Segmentation of Magnet Perma-

nent

Rudy Setiabudy, Herlina Herlina, Yudha Sasmita Putra

83 Optimal Photovoltaic Placement at the Southern Sulawesi Power System for Stability Improvement

Ardiaty Arief, Muhammad Bachtiar Nappu, Sitti Marwah Rachman, Mustadir Darusman

Page 5: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

89 Feature Extraction Using Hilbert-Huang Transform for Power System Oscillation Measurements

Buyung Sofiarto Munir, Muhamad Reza, Agung Trisetyarso, Bahtiar Saleh Abbas

93 Audit of Harmonic on Residential Loads in Central Java

Sapto Nisworo, Deria Pravitasari

98 Harmonics Monitoring of Car’s Inverter using Discrete Fourier Transformation

Mat Syai’in, N.H. Rohiem, R. K. Tobing, M.A. Atmoko, M. F. Adiatmoko, A. Soeprijanto, A.M Hatta,Sekartedjo Sekartedjo

104 Voltage Sag Mitigation Due To Short Circuit Current Using Dynamic Voltage Restorer Based On Hys-

teresis Controller

Nizamul Muluk, Agung Warsito, Juningtyastuti Juningtyastuti, Iwan Setiawan

109 Design Analysis of Photovoltaic Systems as Renewable Energy Resource in Airport

Hermawan Hermawan, Karnoto Karnoto

113 Design and Development of Data Acquisition for Leakage Current at Electrical Tracking Test

Jumrianto Jumrianto, Wahyudi Wahyudi, Abdul Syakur

119 Experimental Study on Lightning Air Terminal Performance based on Material Type

Abdul Syakur, Agung Nugroho, Anastasia Br. Napitupulu

123 Comparison of Cost Estimation Methods in Power Wheeling for Java-Bali Interconnection System

Hermawan Hermawan, Trias Andromeda

127 Optimization of Gas Turbine Power Plant Economic Dispatch using Cuckoo Search Algorithm Method

Tejo Sukmadi, Ariya Dwi Wardhana, Munawar Agus Riyadi

Electronics, Robotics and Instrumentation132 Ball Detection Algorithm for Robot Soccer based on Contour and Gradient Hough Circle Transform

Ane Cornelia, Iwan Setyawan

138 Hardware Design of Queuing Free Environmental Friendly Automatic Toll Gate Using RFID

W. A. Syafei, A. F. Listyono, Darjat Darjat

143 Smart Meter based on Time Series Modify and Constructive Backpropagation Neural Network

M. F. Adiatmoko, Adi Soeprijanto, Mat Syai’in, Nasyith Hananur R

150 The Development of Soil Water Content Detector

Amin Suharjono, Muhammad Mukhlisin, Nur Khodijah M. Alfisyahrin

154 Applying Maritime Wireless Communication to Support Vessel Monitoring

Zahir Zainuddin, Wardi Wardi, Yurika Nantan

158 Design of Lungs Volume Measuring Instrument using Pressure Sensor Based on Arduino Uno R3 with

Bluetooth Integration

Gayuh Nurul Huda, Eko Didik Widianto, Oky Dwi Nurhayati

166 Designing and Implementing the Arduino-based Nutrition Feeding Automation System of a Prototype

Scaled Nutrient Film Technique (NFT) Hydroponics using Total Dissolved Solids (TDS) Sensor

Dania Eridani, Olivia Wardhani, Eko Didik Widianto

172 Door And Light Control Prototype Using Intel Galileo Based Internet of Things

Yudi Eko Windarto, Dania Eridani

177 Particle Swarm Optimization (PSO)-Based Self Tuning Proportional, Integral, Derivative (PID) for Bear-

ing Navigation Control System on Quadcopter

Sumardi Sumardi, Muhammad Surya Sulila, Munawar Agus Riyadi

183 Design of Integrated SCADA Systems in Piston Production Manufacturing Case Study on the Conveyor,

the Coolant, the Hydraulic, and the Alarm Systems using PLC CJ1M and CJ1W-ETN21

Syahril Ardi, Agus Ponco, Rizky Awaludin Latief

188 Design of Pokayoke Systems to Increase the Efficiency of Function Check Oxygen Sensor Machine using

Programmable Logic Controller in Manufacturing Industry

Syahril Ardi, Harits Abdurrahman

Image and Signal Processing193 Pattern Recognition Analysis of Herbal Leaves Based on Distance-Based Similarity Measures Using the

Gray Level Co-Occurrence Matrix Feature Extraction

M. Fahmi Awaj, R. Rizal Isnanto, Munawar Agus Riyadi

Page 6: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

199 StegoCrypt Method using Wavelet Transform and One-Time Pad for Secret Image Delivery

Andik Setyono, De Rosal Ignatius Moses Setiadi, Muljono Muljono

204 A Secure Image Watermarking using Chinese Remainder Theorem Based on Haar Wavelet Transform

Usman Sudibyo, Fatma Eranisa, De Rosal Ignatius Moses Setiadi, Christy Atika Sari

209 Plant Age Identification System of Outdoor Hydroponic Cultivation Based on Digital Image Processing

Arif Nursyahid, Mochammad Rizal Wibisono, Eni Dwi Wardihani, Helmy Helmy, Thomas Agung Setyawan

215 Herb Leaves Recognition Using Combinations of Hu’s Moment Variants - Backpropagation Neural Net-

work and 2-D Gabor Filter - Learning Vector Quantization (LVQ)

R. Rizal Isnanto, Achmad Hidayatno, Ajub Ajulian Zahra, Eskanesiari Eskanesiari, Aditya Indra Bagaskara,Risma Septiana

Information Technology221 Review on the Application of Financial Technology for the Wayang Orang Ngesti Pandowo Cultural

Creative Industry

Albertus Dwiyoga Widiantoro, Ridwan Sanjaya, Tjahjono Rahardjo, Rahmat Djati

226 Online Judging System for Programming Contest using UM Framework

I Made Wirawan, Agusta Rakhmat Taufani, Irawan Dwi Wahyono, Irham Fadlika

231 Regulatory Framework Creation Analysis to Reduce Security Risks The Use of Social Media in Compa-

nies

Oktavianus Teguh Prayitno, Ofelia Cizela da Costa Tavares, Amaya Andri Damaini, Djoko BudiyantoSetyohadi

235 Student Learning Styles and Emotional Tendencies Detection Based on Twitter

Robet Habibi, Djoko Budiyanto Setyohadi, Kartika Imam Santoso

240 Inter-Organizational Information System Affect Organization Structure for Supply Chain Management

Using Method SET and Method TREV

Rakotovao Andriamitovo Andry Michel, Ginanjar Setyo Nugroho, Chaken Charles Z Slarmanat, DjokoBudiyanto Setyohadi

245 Integration Of Pharmacy And Drug Manufacturers In RSUD Dr Samratulangi Tondano By ESB WSO2 To

Improve Service Quality (A Case Study of RSUD Dr Samratulangi Tondano, Minahasa Regency, North

Sulawesi)

Damar Suryo Sasono, Frendy Rocky Rumambi, Ressa Priskila, Djoko Budiyanto Setyohadi

251 Analysis and Design of Web-Geographic Information System for Tropical Diseases-Prone Areas: A Case

Study of East Java Province, Indonesia

Anik Vega Vitianingsih, Dwi Cahyono, Achmad Choiron

257 Smartphone Application Development for Monitoring and Early Warning on Environmental Health

Kodrat Iman Satoto, Eko Didik Widianto, Sumardi Sumardi

262 Sentiment Analysis on Twitter Posts: An analysis of Positive or Negative Opinion on GoJek

Ike Pertiwi Windasari, Fajar Nurul Uzzi, Kodrat Iman Satoto

266 Design of Learning Media for Fish Classification with Augmented Reality Technology

Kurniawan Teguh Martono, Adnan Fauzi

272 Sentiment Analysis on Travel Destination in Indonesia

Ike Pertiwi Windasari, Dania Eridani

276 Wireless Sensor Network Design for Landslide Warning System in IoT Architecture

Aghus Sofwan, Sumardi Sumardi, M. Ridho, Abdul Goni, Najib Najib

280 Enterprise Architecture Analysis and Design of Manufacturer Company Based on TOGAF ADM 9.1:

Case Study on Sales Marketing and Technology Function in PT. XYZ

Rahmat Mulyana, Jihan Herdiyanti Syafira

286 Evaluation of IT Governance Using the Cobit 5 Framework on PTPN 7

Ibrahim Ibrahim, Arnisa Stefanie

290 Automatic detection of epilepsy using Wavelet Transformation and ELM

Siswandari Noertjahjani, Adhi Susanto, Risanuri Hidayat, Samekto Wibowo

Page 7: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

Wireless and Telecommunication296 Design of Measurement System for HF MIMO NVIS Channel

Sarah Lasroma Manalu, Gamatyo Hendrantoro, Achmad Mauludiyanto302 Design and Analysis of Slimjim Dual Band VHF and UHF Antenna with Crossarm Variation

Yuli Christyono, Ihsan Atmaji, Teguh Prakoso308 Bandwidth Enhancement of Circular Microstrip Antenna Using Characteristic Mode Analysis

Teguh Prakoso, Liya Y. Sabila, Denti A. Damayanti, Aghus Sofwan, Munawar A. Riyadi, Sudjadi Sudjadi,Sukiswo Sukiswo, Enda W. Sinuraya, Karnoto Karnoto

Page 8: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

Voltage Sag Mitigation Due To Short Circuit Current Using Dynamic Voltage Restorer Based On Hysteresis Controller

Nizamul Muluk, Agung Warsito, Juningtyastuti, Iwan Setiawan Department of Electrical Engineering

Universitas Diponegoro, Semarang, Indonesia [email protected]

[email protected] [email protected] [email protected]

Abstract—Voltage sag is a major problem in power system that must be solved. To overcome the occurrence of the voltage sag, a system that well known as Dynamic Voltage Restorer (DVR) is needed. In an electrical power system, DVR is positioned in series between a source and load. There are several DVR voltage compensating methods,such as pre-sag method, in-phase method and in-phase advance compensation. DVR need synchronization time for equals phase injection voltage so it can compensate voltage sag due to short circuit current. This work employs Discrete Fourier Transform (DFT) for phase detection and hysteresis voltage control. This paper presents modeling, analysis and simulation of DVR by using MATLAB.

Keywords— electric power quality; voltage sag; dynamic voltage restorer; hysteresis voltage control.

I. INTRODUCTION Many developing countries require increased productivity

in industry, to achieve high productivity, industry requires power electronics components, where power electronics component is a sensitive device that must be supplied by a voltage that has frequency and magnitude at constant conditions [1]. Power electronics components are required high-power quality[2],[3], because electronics components are very sensitive to electromagnetic fault [4]. Such a fault causes problems of power quality, failure in providing high power quality can cause failure of equipment operation or even shutdown on a system, power quality problems are: voltage sag, flicker, voltage unbalance, interruption and harmonic. Voltage sag is one factor causing the diminished electrical power quality, one of causes of voltage sag is short circuit current. To mitigate the voltage sag, one can use Dynamic Voltage Restorer (DVR) [5], [6].DVR placed at point of common coupling, at customer side. So that DVR can protect load by injecting voltage for mitigation voltage sag.

II. DYNAMIC VOLTAGE RESTORER

A. Principle of DVR Operation Fig. 1 shows the block diagram of DVR. The basic idea of

DVR is to inject voltage from injection transformer, wherein voltage of injection transformer comes from inverter, in this work, the inverter is controlled using hysteresis control with

phase detection .

Fig. 1. Basic Circuit of DVR [7]

B. Basic Configuration of DVR • An Injection/ Booster transformer: The main task of

injection transformer is to connect DVR to distribution network via the HV-windings and transforms and couples injected compensating voltages generated by voltage source converters to the incoming supply voltage.

• Filter Unit: The main task of harmonic filter is to keep the harmonic voltage content generated by voltage source converter (inverter). Non-linear characteristics of semiconductor devices cause distorted waveforms associated with harmonics. To overcome this problem and providing clean electrical supply filter unit is used.

• Voltage Source Inverter Circuit: Inverter circuits convert DC voltage to AC voltage. Solid-state semiconductor devices with turn-off capability are used in inverter circuits. In DVR application, VSC is used to generate voltage for mitigation voltage sag.

• Energy Storage Unit: Purpose is to supply necessary energy to inverter via a dc link for the generation of injected voltages. Batteries and Ultracapacitors are most common types of energy storage devices. In fact, capacity

Proc. of 2017 4th Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE), Oct 18-19, 2017, Semarang, Indonesia

978-1-5386-3947-4/17/$31.00 c©2017 IEEE 104

Page 9: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

of the stored energy directly determines the duration of sag which can be mitigating by DVR.

C. Control scheme of DVR Fig. 2 shows the flowchart of DVR operation, the first

step of the control technique is phase detection by Discrete Fourier Transform (DFT) that used for reference voltage. the control output of the DVR to generate switching signal for inverter is generate based on error between reference and actual voltage.

Fig. 2. Flowchart of Control Technique DVR based on phase detection

III. HYSTERESIS VOLTAGE CONTROL WITH DETECTION PHASE

Hysteresis control is a feedback controller that compares two statements that produce a switching signal from difference of two statements.

As in Fig. 3 (a) hysteresis control generally consists of a 3-phase IGBT inverter, battery for energy storage, injection transformer and hysteresis controller. Hysteresis controller requires two voltage signals, which are from supply voltage side and from injection transformer where voltage is injected by DVR. Hysteresis controller will compare two signals, and produce an error signal that is forwarded to hysteresis switching pattern according to fig. (b). This hysteresis controller uses bands (VH (upper) and VL (lower)), where if error signal is between upper and lower there is no switching signal and when signal errors�upper, switching signal will decrease and vice versa, as in fig. (b) and (c).

(a)

(b)

(c)

Fig. 3. (a). DVR circuit with hysteresis control[8]: (b). Hysteresis switching pattern[8], (c). hysteresis band control[9]

Fig. 4. Simulink model of Hysteresis Voltage Controller

ICITACEE 2017 105

Page 10: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

Fig. 5. Discrete Fourier Transform (DFT) Block.

Fig. 5 shows the DFT block for phase detection, the explanation of the DFT operation could be explainedas follow.

���� �

� ������ �

������� (1)

where: k = 0, 1, 2,…, N-1.

n = 0, 1, 2,…, N-1.

� � ����� (2)

By Substitute (1) to (2), then we get :

���� � � ������ ���� (3)

Based on Euler Cauchy relation below:

��� � � !" # $!%�" (4)

Then (3) could be represented by (5):

�� � � �&'(�)� � # $!%��)� � # *#���&'(�)��� # $!%��)��� (5)

Where the real part of the signal is :

� �&'(�)� �#+ + #���&'(�)��� (6)

Whereas Imaginary part is :

$!%��)� � # *# $!%��)��� (7)

By simplication, (6) and (7)could be writen :

�� � ,� # $-� (8)

From (8), the magnitude and phase could be calculated as shown in (9) :

./0�%123� � 4,�5 # -�5 (9)

6 � 1/��� 78

98 (10)

Fig. 6. Generating reference voltage block

From Fig. 6,the voltage of the grid are.

:!/ � :. (;<�=1 # >� (11)

:!� � :. (;<�=1 # > ) ?�@ � (12)

:!� � :. (;<�=1 # > # ?�@ � (13)

where: Vsa = Voltage A phase (V), Vsb = Voltage B phase (V), Vsc = Voltage C phase (V), Vm = Voltage Max (V), Wt = 2�f, > = phase shift (0)

IV. SIMULATION RESULT AND DISCUSSION Table 1 show parameters that used for simulaiton purposes.

TABLE I. . SYSTEM PARAMETER [5]

No Parameter Value 1 Supply 3 fasa 11KV, 50 Hz 2 Trafo step up Y/�/�, 11/115/115 KV

3 Impedance R= 0.001� L=1.33 μH

4 Trafo step down �/Y 115/11 KV Y/Y 11 KV/440 V

5 Load R=14 �, L=1mH

Fig 7.Simulink block diagram of the DVR

Load A

Load B

ICITACEE 2017 106

Page 11: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

DVR in this research designed for protect LOAD B from voltage sag, voltage sag in this research caused by short circuit current. Simulated short-circuit currentsare one phase fault to ground (L-G), two phase fault (L-L), two phase to ground fault (L-L-G), and three phase fault (L-L-L).

To test the control design of the DVR, in this work we

have simulate the DVR model by using Simulink.

Fig. 8.a and Fig.8.b respectively show the normal grid voltage and the output voltage control of the DVR. As shown at Fig. 8.b. in the first 0.02 second of simulation, synchronization process of the DVR will take placed.

Fig. 9 (10-11).aand Fig.9(10-11).b respectively show the faulted grid voltage caused by short circuit between line to line voltage and the output voltage control of the DVR. As shown at Fig. 9.b. to mitigate the voltage sag, the DVR will automatically generate voltage that coresponding with the depth of the sag.

Fig 12. Show the grid voltage after voltage compensation of the DVR for any faulted.

Fig.8 (a) Normal Voltage

Fig. 8 (b) DVR output

Fig. 9(a) Voltage sag caused by L-L fault

Fig.9 (b) Injection voltage for mitigation voltage sag L-L fault

Fig.10(a) Voltage sag caused by L-L-G fault

Fig.10 (b) Injection voltage for mitigation voltage sag L-L-G fault

Fig. 6. Fig. 11(a) Voltage sag caused by L-L-L fault

ICITACEE 2017 107

Page 12: eprints.undip.ac.ideprints.undip.ac.id/71809/29/Voltage_Sag_Mitigation.pdf · 37 Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR with Web Applica-tion

Fig. 11 (b) Injection voltage for mitigation voltage sag L-L-L fault

Fig. 12 Voltage at load B after compensation

V. CONCLUSION In this work, we have built DVR model with hysteresis

control phase detection method. Based on simulation result,

DVR need synchronization time for equals phase injection voltage so it can compensate voltage sag due to short circuit current L-G, L-L, L-L-G and L-L-L.

REFERENCES [1] [1] Sankran C,"Power Quality" ISBN 0-8493-1040-7,2001 [2] [2] Dugan, and others,"Electrical Power System Quality", Mc. Graw

Hill,2002. [3] [3] N. R. Patne and K. L. Thakre, “Factor Affecting Characteristic of

Voltage Sag Due to Fault in Power System,” vol. 5, no. 1, pp. 171–182, 2008.

[4] [4] M. Mcgranaghan and D. Mueller, “PLANT VOLTAGE DURING SINGLE LINE- TO-GROUND FAULTS ON UTILITY,” no. Fig. 3, pp. 1–8.

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