DocumentCode :
2731014
Title :
Transmission loss minimization using SVC based on Particle Swarm Optimization
Author :
Jumaat, Siti Amely ; Musirin, Ismail ; Othman, Muhammad Murtadha ; Mokhlis, Hazlie
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia
fYear :
2011
fDate :
25-28 Sept. 2011
Firstpage :
419
Lastpage :
424
Abstract :
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.
Keywords :
minimisation; particle swarm optimisation; power transmission; static VAr compensators; Bee algorithm; IEEE 26-bus system; artificial intelligent search; optimal sizing; particle swarm optimization; static var compensator; transmission loss minimization; Barium; Load management; Loading; Optimization; Propagation losses; Reactive power; Static VAr compensators; FACTS devices; minimization; optimal sizing; particle swarm optimization; static var compensator; transmission loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ISIEA), 2011 IEEE Symposium on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4577-1418-4
Type :
conf
DOI :
10.1109/ISIEA.2011.6108743
Filename :
6108743
Link To Document :
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