DocumentCode :
2906480
Title :
New Constriction Particle Swarm Optimization for Security-Constrained Optimal Power Flow Solution
Author :
Gaing, Zwe-Lee ; Liu, Xun-Han
Author_Institution :
Kao Yuan Univ., Kaohsiung
fYear :
2007
fDate :
5-8 Nov. 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a new version of constriction particle swarm optimization (NCPSO) with mutation mechanism for solving the security-constrained optimal power flow (OPF) with both the steady-state security constraints and the transient stability constraints. The objective of SCOPF in considering the valve-point loading effect of the unit and the operating limits of FACTS devices is defined not only to minimize total generation cost but also to enhance transmission security, reduce transmission loss, and improve the bus voltage profile under normal or post-contingent states. The proposed NCPSO method involves a new cognitive behavior of particle. The particle can remember its previously visited best and worst positions, thus it can explore effectively the search space. The effectiveness of the proposed method is demonstrated for the IEEE 30-bus and 57-bus systems.
Keywords :
flexible AC transmission systems; load flow; optimisation; power system security; power system transient stability; power transmission planning; FACTS devices; IEEE 30-bus systems; IEEE 57-bus systems; bus voltage profile; cognitive behavior; constriction particle swarm optimization; mutation mechanism; post-contingent states; power generation cost; security-constrained optimal power flow solution; steady-state security constraints; transient stability constraints; transmission loss; transmission security; valve-point loading effect; Control systems; Genetic mutations; Load flow; Particle swarm optimization; Power system security; Power system transients; Stability; Steady-state; Transient analysis; Voltage; FACTS; contingency analysis; optimal power flow; particle swarm optimization; transient stability; valve-point loading effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
Type :
conf
DOI :
10.1109/ISAP.2007.4441602
Filename :
4441602
Link To Document :
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