MOPSO approach for FACTS device installation in power system

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

2013

fDate

3-4 June 2013

Firstpage

564

Lastpage

569

Abstract

This paper presents an approach to sigma multiobjective optimization particle swarm (σ-MOPSO) technique for optimal allocation of Flexible AC Transmission System (FACTS) devices. For this study, Static Var Compensator (SVC) is selected as a compensation device. Proposal σ-MOPSO technique has been implemented to minimize the transmission losses and the cost of investment in the system. Simulations performed on standard IEEE RTS 30-bus and IEEE 118-bus RTS. Results are compared with those obtained from the programming of multiobjective evolutionary technique (MOEP) in order to highlight its advantages.

Keywords

IEEE standards; evolutionary computation; flexible AC transmission systems; particle swarm optimisation; static VAr compensators; σ-MOPSO technique; FACTS device installation; IEEE 118-bus RTS; MOEP; SVC; compensation device; flexible AC transmission system devices; multiobjective evolutionary technique; optimal allocation; power system; sigma multiobjective optimization particle swarm technique; standard IEEE RTS 30-bus; static Var compensator; Conferences; Investment; Minimization; Optimization; Power engineering; Power systems; Propagation losses;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International

Conference_Location

Langkawi

Print_ISBN

978-1-4673-5072-3

Type

conf

DOI

10.1109/PEOCO.2013.6564611

Filename

6564611