DocumentCode :
3244869
Title :
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
Link To Document :
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