Optimal placement of static VAR compensator using genetic algorithms
The management of power systems has become more difficult than earlier because power systems are operated closer to security limits, environmental constraints restrict the expansion of transmission network and the need for long distance power transfers has increased. The loading of a transmission ne...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Electrical Engineering
2008
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| Online Access: | http://eprints.utm.my/9932/1/MWazirMustafa2008_OptimalPlacementofStaticVARCompensator.pdf |
| _version_ | 1825910406827212800 |
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| author | Mustafa, Mohd. Wazir Wong, Yan Chiew |
| author_facet | Mustafa, Mohd. Wazir Wong, Yan Chiew |
| author_sort | Mustafa, Mohd. Wazir |
| collection | ePrints |
| description | The management of power systems has become more difficult than earlier because power systems are operated closer to security limits, environmental constraints restrict the expansion of transmission network and the need for long distance power transfers has increased. The loading of a transmission network can be increased by maintaining proper voltage profile through injecting appropriate reactive power into the system. The existence of the multiple solutions in the optimal placement of reactive power in the power system typically often get stuck at the local optimum rather than at the global optimum. Genetic Algorithms (GAs) are stochastic searching algorithms that make the searching process jumps randomly from point to point, thus allowing escape from the local optimum, and search for many sub-optimum points in parallel.This paper presents an evolutionary computation algorithm for enhancing voltage stability. GAs will determine the most vulnerable bus in the power system, where the Static VAR Compensator (SVC) is needed to be installed at that bus as well as considering installation cost of SVC. The developed algorithms have successfully obtained the best solution for optimal placement of SVC in the IEEE 9 buses system and TNB northern area 275kV 14-bus system |
| first_indexed | 2024-03-05T18:16:36Z |
| format | Article |
| id | utm.eprints-9932 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:16:36Z |
| publishDate | 2008 |
| publisher | Faculty of Electrical Engineering |
| record_format | dspace |
| spelling | utm.eprints-99322011-05-11T04:34:08Z http://eprints.utm.my/9932/ Optimal placement of static VAR compensator using genetic algorithms Mustafa, Mohd. Wazir Wong, Yan Chiew T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The management of power systems has become more difficult than earlier because power systems are operated closer to security limits, environmental constraints restrict the expansion of transmission network and the need for long distance power transfers has increased. The loading of a transmission network can be increased by maintaining proper voltage profile through injecting appropriate reactive power into the system. The existence of the multiple solutions in the optimal placement of reactive power in the power system typically often get stuck at the local optimum rather than at the global optimum. Genetic Algorithms (GAs) are stochastic searching algorithms that make the searching process jumps randomly from point to point, thus allowing escape from the local optimum, and search for many sub-optimum points in parallel.This paper presents an evolutionary computation algorithm for enhancing voltage stability. GAs will determine the most vulnerable bus in the power system, where the Static VAR Compensator (SVC) is needed to be installed at that bus as well as considering installation cost of SVC. The developed algorithms have successfully obtained the best solution for optimal placement of SVC in the IEEE 9 buses system and TNB northern area 275kV 14-bus system Faculty of Electrical Engineering 2008-06 Article PeerReviewed application/pdf en http://eprints.utm.my/9932/1/MWazirMustafa2008_OptimalPlacementofStaticVARCompensator.pdf Mustafa, Mohd. Wazir and Wong, Yan Chiew (2008) Optimal placement of static VAR compensator using genetic algorithms. Elektrika, 10 (1). pp. 26-31. ISSN 0128-4428 http://www.fke.utm.my/elektrika/june08/paper5june08.pdf |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Mustafa, Mohd. Wazir Wong, Yan Chiew Optimal placement of static VAR compensator using genetic algorithms |
| title | Optimal placement of static VAR compensator using genetic algorithms |
| title_full | Optimal placement of static VAR compensator using genetic algorithms |
| title_fullStr | Optimal placement of static VAR compensator using genetic algorithms |
| title_full_unstemmed | Optimal placement of static VAR compensator using genetic algorithms |
| title_short | Optimal placement of static VAR compensator using genetic algorithms |
| title_sort | optimal placement of static var compensator using genetic algorithms |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/9932/1/MWazirMustafa2008_OptimalPlacementofStaticVARCompensator.pdf |
| work_keys_str_mv | AT mustafamohdwazir optimalplacementofstaticvarcompensatorusinggeneticalgorithms AT wongyanchiew optimalplacementofstaticvarcompensatorusinggeneticalgorithms |