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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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Subjects: | |
| 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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| Summary: | 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. |
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