Optimal Location and Sizing of SVC Using Particle Swarm Optimization Technique

Author

Jumaat, Siti Amely ; Musirin, Ismail ; Othman, Muhammad Mutadha ; Mokhlis, Hazlie

Author_Institution

Fac. of Electr. & Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia

fYear

2011

fDate

12-14 Dec. 2011

Firstpage

312

Lastpage

317

Abstract

This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from Evolutionary Programming (EP) technique in the attempt to highlight its merit.

Keywords

compensation; evolutionary computation; losses; minimisation; particle swarm optimisation; search problems; static VAr compensators; stochastic processes; EP technique; IEEE 30-bus system; SVC sizing; evolutionary programming technique; optimal SVC location; particle swarm optimization technique; population-based stochastic search algorithm; potential technique; static var compensator; transmission loss; Load management; Loading; Particle swarm optimization; Programming; Propagation losses; Reactive power; Static VAr compensators; Particle Swarm Optimization; optimal location; optimal sizing; static var compensator; transmission loss minimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics and Computational Intelligence (ICI), 2011 First International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4673-0091-9

Type

conf

DOI

10.1109/ICI.2011.58

Filename

6141691