DocumentCode :
3097714
Title :
Multi-objective Optimization of Power System Performance with TCSC Using the MOPSO Algorithm
Author :
Mollazei, Sara ; Farsangi, Malihe M. ; Nezamabadi-Pour, Hossein ; Lee, Kwang Y.
Author_Institution :
Kerman Univ., Kerman
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, multi-objective particle swarm optimization (MOPSO) algorithm is used to find the optimal location of thyristor controlled series compensator (TCSC) and its parameter in order to increase total transfer capability (TTC), reduce total transmission losses and reduce voltage deviation. This multi-objective optimization problem is solved by using the MOPSO with sigma method and encouraging results are obtained.
Keywords :
losses; particle swarm optimisation; power transmission control; thyristor applications; TCSC; multi-objective particle swarm optimization; power system performance; sigma method; thyristor controlled series compensator; total transfer capability; total transmission loss reduction; voltage deviation reduction; Flexible AC transmission systems; Optimal control; Optimization methods; Particle swarm optimization; Performance loss; Power capacitors; Power system analysis computing; Power systems; Propagation losses; Thyristors; Multi-objective optimization; TCSC; TTC; multi-objective particle swarm optimization; sigma method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385878
Filename :
4275644
Link To Document :
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