Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm

Autor: Zwe-Lee Gaing, Chia-Hung Lin
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2011 (2011)
Druh dokumentu: article
ISSN: 1687-9724
1687-9732
DOI: 10.1155/2011/942672
Popis: This paper proposes solving contingency-constrained optimal power flow (CC-OPF) by a simplex-based chaotic particle swarm optimization (SCPSO). The associated objective of CC-OPF with the considered valve-point loading effects of generators is to minimize the total generation cost, to reduce transmission loss, and to improve the bus-voltage profile under normal or postcontingent states. The proposed SCPSO method, which involves the chaotic map and the downhill simplex search, can avoid the premature convergence of PSO and escape local minima. The effectiveness of the proposed method is demonstrated in two power systems with contingency constraints and compared with other stochastic techniques in terms of solution quality and convergence rate. The experimental results show that the SCPSO-based CC-OPF method has suitable mutation schemes, thus showing robustness and effectiveness in solving contingency-constrained OPF problems.
Databáze: Directory of Open Access Journals
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