DocumentCode :
2548838
Title :
PSO based technique for loss minimization considering voltage profile and cost function
Author :
Jumaat, S.A. ; Musirin, Ismail ; Murtadha, Othman Muhammad ; Mokhlis, Hazlie
fYear :
2011
fDate :
6-7 June 2011
Firstpage :
36
Lastpage :
41
Abstract :
This paper describes optimal sizing of FACTS devices based on Particle Swarm Optimization for minimization of transmission loss considering voltage profile and cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which have the potential in solving such a problem. In this study one of FACTS devices is used as a scheme for transmission loss. For this study, static var compensator (SVC) is chosen as the compensation device. The effect of population size during the optimization process towards achieving the solution is also investigated. Validation through the implementation on the IEEE 30-bus RTS indicated that PSO is feasible to achieve the task.
Keywords :
artificial intelligence; flexible AC transmission systems; minimisation; particle swarm optimisation; power engineering computing; power transmission economics; static VAr compensators; FACTS devices optimal sizing; IEEE 30-bus RTS; PSO; SVC; artificial intelligent search; compensation device; cost function; particle swarm optimization; static VAR compensator; transmission loss minimization; voltage profile; Genetic algorithms; Load management; Loading; Optimization; Propagation losses; Reactive power; Static VAr compensators; FACTS devices; Particle Swarm Optimization; minimization; optimal sizing; static var compensator; transmission loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2011 5th International
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4577-0355-3
Type :
conf
DOI :
10.1109/PEOCO.2011.5970456
Filename :
5970456
Link To Document :
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