DocumentCode :
2877048
Title :
Particle swarm optimization for OPF with consideration of FACTS devices
Author :
Leung, H.C. ; Lu, Dylan Dah-Chuan
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
2406
Lastpage :
2410
Abstract :
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power flow (OPF) in power systems incorporated with flexible ac transmission system (FACTS). The above approach integrates the power flow control needs into the OPF problem to fully utilize the characteristics of FACTS devices. A versatile FACTS device, UPFC (Unified Power Flow Controller), is considered. In the solution process, PSO coupled with full AC power flow, selects the best regulation to minimize the total cost and keep the power flows within their security limits. The optimization process with PSO is presented with case study examples using IEEE modified 14-bus system to demonstrate its applicability. The results have been compared with genetic algorithm (GA) to show the feasibility and the potential of this approach.
Keywords :
flexible AC transmission systems; load flow control; particle swarm optimisation; power system security; FACTS devices; IEEE modified 14-bus system; PSO method; UPFC; flexible AC transmission system; full AC power flow; genetic algorithm; optimal power flow; particle swarm optimization process; power systems; unified power flow controller; Genetic algorithms; Load flow; Mathematical model; Optimization; Particle swarm optimization; Power system stability; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119686
Filename :
6119686
Link To Document :
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