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
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