A hybrid meta-heuristics optimization technique for loss minimization and cluster identification in power system network

Author

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

Author_Institution

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

fYear

2014

fDate

24-25 March 2014

Firstpage

568

Lastpage

572

Abstract

This paper introduces a new approach of hybrid meta-heuristics based technique for minimizing the transmission loss and the clustering of FACTS device installation in power system network. The proposed Evolutionary Particle Swarm Optimization technique has been implemented to minimize the transmission loss, to improve the voltage and monitor the cost of installation in the system. Subsequently, cluster identification through FACTS device installation in power system is proposed which aims to demonstrate the area for FACTs devices to be installed. Comparison with respect to conventional Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has been done to realize the effectiveness of proposed techniques.

Keywords

evolutionary computation; flexible AC transmission systems; particle swarm optimisation; pattern clustering; power transmission economics; EP; FACTS device installation clustering; PSO; cluster identification; evolutionary particle swarm optimization technique; evolutionary programming; hybrid meta-heuristics optimization technique; installation cost monitoring; power system network; transmission loss minimization; voltage improvement; Conferences; Loading; Optimization; Particle swarm optimization; Propagation losses; Static VAr compensators;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International

Conference_Location

Langkawi

Print_ISBN

978-1-4799-2421-9

Type

conf

DOI

10.1109/PEOCO.2014.6814493

Filename

6814493