Developed cluster of SVC installation in power system network via hybrid meta-heuristic method

Author

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

Author_Institution

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

fYear

2013

fDate

3-5 Dec. 2013

Firstpage

1

Lastpage

6

Abstract

This paper introduces a new approach of meta-heuristic based method for clustering the optimal location of SVC installation in power system. The algorithm is based on evolutionary particle swarm optimization (EPSO) technique with the objective to minimize the transmission loss in power system. With the formation of cluster decision can be made by power system operators to perform power compensation scheme considering selected loading conditions and loaded buses. Experiments were performed on the IEEE 30-bus RTS to realize the effectiveness of the proposed method. Comparison with respect to conventional PSO was conducted which eventually resulted superiority in terms of loss minimization.

Keywords

evolutionary computation; particle swarm optimisation; static VAr compensators; EPSO technique; IEEE 30-bus RTS; SVC installation; evolutionary particle swarm optimization; hybrid meta-heuristic method; power compensation scheme; power system network; transmission loss minimization; Conferences; Electrical engineering; Optimization; Particle swarm optimization; Propagation losses; Static VAr compensators; cluster; evolutionary particle swarm optimization; static var compensator; transmission loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Electrical Engineering and Computing Technologies (AEECT), 2013 IEEE Jordan Conference on

Conference_Location

Amman

Print_ISBN

978-1-4799-2305-2

Type

conf

DOI

10.1109/AEECT.2013.6716457

Filename

6716457