Effect of Multi-SVC Installation for Loss Control in Power System using Multi-Computational Techniques

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I whakaputaina i:International Journal of Advanced Computer Science and Applications vol. 14, no. 5 (2023)
Kaituhi matua: Balasubramaniam, N
Ētahi atu kaituhi: Kamari, N A M, Musirin, I, Ibrahim, A A
I whakaputaina:
Science and Information (SAI) Organization Limited
Ngā marau:
Urunga tuihono:Citation/Abstract
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LEADER 00000nab a2200000uu 4500
001 2830496968
003 UK-CbPIL
022 |a 2158-107X 
022 |a 2156-5570 
024 7 |a 10.14569/IJACSA.2023.01405103  |2 doi 
035 |a 2830496968 
045 2 |b d20230101  |b d20231231 
100 1 |a Balasubramaniam, N 
245 1 |a Effect of Multi-SVC Installation for Loss Control in Power System using Multi-Computational Techniques 
260 |b Science and Information (SAI) Organization Limited  |c 2023 
513 |a Journal Article 
520 3 |a Flexible AC Transmission Systems (FACTs) play a vital role in minimizing the power losses and improving voltage profile in power transmission system. These increase the real power transfer capacity of the system. However, optimal location of sizing of the FACTs devices determines the extent of benefits provided by the FACTs devices to the transmission system. Non-optimal solution in terms of the location and sizing may possibly lead to under-compensation or over-compensation phenomena. Thus, a robust optimization is a priori for optimal solution achievement. This paper presents a study on the effect on multi static VAR compensators (SVC) installation for loss control in power system using evolutionary programming (EP), artificial immune system (AIS) and immune evolutionary programming (IEP). The objective is to minimize the real power loss transmission and improve the voltage profile of the transmission power system. The study reveals that installation of multi-units SVC significantly reduces the power loss and increases the voltage profile of the system, validated on the IEEE 30-Bus Reliability Test System (RTS). 
653 |a Test systems 
653 |a Compensation 
653 |a Electric power loss 
653 |a Computer science 
653 |a Electricity 
653 |a Electric potential 
653 |a Immune system 
653 |a Electricity distribution 
653 |a Sizing 
653 |a Voltage 
653 |a Optimization techniques 
653 |a Compensators 
653 |a Power transfer 
653 |a Optimization 
653 |a Computer engineering 
653 |a Loss control 
653 |a Control systems 
653 |a Flexible AC power transmission systems 
653 |a Evolutionary algorithms 
653 |a Efficiency 
653 |a Electric power systems 
700 1 |a Kamari, N A M 
700 1 |a Musirin, I 
700 1 |a Ibrahim, A A 
773 0 |t International Journal of Advanced Computer Science and Applications  |g vol. 14, no. 5 (2023) 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2830496968/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2830496968/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch