Evolutionary Particle Swarm Optimization (EPSO) based technique for multiple SVCs optimization

Author

Jumaat, S.A. ; Musirin, I. ; Othman, M.M. ; Mokhlis, H.

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia (UTHM), Parit Raja, Malaysia

fYear

2012

fDate

2-5 Dec. 2012

Firstpage

183

Lastpage

188

Abstract

This paper presents Evolutionary Particle Swarm Optimization (EPSO) based technique for multiple SVCs optimization, in order to minimize the transmission loss in power system. In this study, static var compensator (SVC) is chosen as the FACTS device for the optimal installation for compensation purposes due to reported promising performances of the devices. Introduction of hybrid form of Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) termed as EPSO has resulted promising findings in terms of accuracy and computation time reduction.

Keywords

evolutionary computation; flexible AC transmission systems; particle swarm optimisation; static VAr compensators; EPSO-based technique; FACTS device; SVC optimization; evolutionary particle swarm optimization-based technique; evolutionary programming; static Var compensator; transmission loss minimization; Equations; Mathematical model; Minimization; Particle swarm optimization; Propagation losses; Static VAr compensators; cost of installation; evolutionary particle swarm optimization; particle swarm optimization; static var compensator; transmission loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy (PECon), 2012 IEEE International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-5017-4

Type

conf

DOI

10.1109/PECon.2012.6450202

Filename

6450202