Optimal location and sizing of SVC using Particle Swarm Optimization technique
This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential tech...
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my.um.eprints.78942019-10-09T08:50:21Z http://eprints.um.edu.my/7894/ Optimal location and sizing of SVC using Particle Swarm Optimization technique Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from Evolutionary Programming (EP) technique in the attempt to highlight its merit. IEEE 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/7894/1/Optimal_Location_and_Sizing_of_SVC_Using_Particle_Swarm_Optimization_Technique.pdf Jumaat, S.A. and Musirin, I. and Othman, M.M. and Mokhlis, Hazlie (2011) Optimal location and sizing of SVC using Particle Swarm Optimization technique. In: Informatics and Computational Intelligence (ICI), 2011 First International Conference on, 2011. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6141691 |
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TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie Optimal location and sizing of SVC using Particle Swarm Optimization technique |
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This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from Evolutionary Programming (EP) technique in the attempt to highlight its merit. |
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Conference or Workshop Item |
author |
Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
author_facet |
Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
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Jumaat, S.A. |
title |
Optimal location and sizing of SVC using Particle Swarm Optimization technique |
title_short |
Optimal location and sizing of SVC using Particle Swarm Optimization technique |
title_full |
Optimal location and sizing of SVC using Particle Swarm Optimization technique |
title_fullStr |
Optimal location and sizing of SVC using Particle Swarm Optimization technique |
title_full_unstemmed |
Optimal location and sizing of SVC using Particle Swarm Optimization technique |
title_sort |
optimal location and sizing of svc using particle swarm optimization technique |
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IEEE |
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2011 |
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http://eprints.um.edu.my/7894/1/Optimal_Location_and_Sizing_of_SVC_Using_Particle_Swarm_Optimization_Technique.pdf http://eprints.um.edu.my/7894/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6141691 |
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