Transmission loss minimization using SVC based on particle swarm optimization
This paper describes optimal sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which has the potential to solve such a...
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Online Access: | http://eprints.um.edu.my/7897/1/Transmission_loss_minimization_using_SVC_based_on_particle_swarm_optimization.pdf http://eprints.um.edu.my/7897/ https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6108743 |
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my.um.eprints.78972019-10-09T08:42:57Z http://eprints.um.edu.my/7897/ Transmission loss minimization using SVC based on particle swarm optimization 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 sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which has the potential to solve such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 26-bus system shows that the PSO is found feasible to achieve the task. The simulations results are compared with those obtained from the Bee Algorithm (BA) technique in the attempt to highlight its merit. IEEE 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/7897/1/Transmission_loss_minimization_using_SVC_based_on_particle_swarm_optimization.pdf Jumaat, S.A. and Musirin, I. and Othman, M.M. and Mokhlis, Hazlie (2011) Transmission loss minimization using SVC based on particle swarm optimization. In: Industrial Electronics and Applications (ISIEA), 2011 IEEE Symposium on, 2011, Langkawi, Malaysia. https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6108743 |
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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 Transmission loss minimization using SVC based on particle swarm optimization |
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This paper describes optimal sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which has the potential to solve such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 26-bus system shows that the PSO is found feasible to achieve the task. The simulations results are compared with those obtained from the Bee Algorithm (BA) technique in the attempt to highlight its merit. |
format |
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 |
author_sort |
Jumaat, S.A. |
title |
Transmission loss minimization using SVC based on particle swarm optimization |
title_short |
Transmission loss minimization using SVC based on particle swarm optimization |
title_full |
Transmission loss minimization using SVC based on particle swarm optimization |
title_fullStr |
Transmission loss minimization using SVC based on particle swarm optimization |
title_full_unstemmed |
Transmission loss minimization using SVC based on particle swarm optimization |
title_sort |
transmission loss minimization using svc based on particle swarm optimization |
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IEEE |
publishDate |
2011 |
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http://eprints.um.edu.my/7897/1/Transmission_loss_minimization_using_SVC_based_on_particle_swarm_optimization.pdf http://eprints.um.edu.my/7897/ https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6108743 |
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1648736096497958912 |
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13.18916 |