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