contingency-constrained optimal power flow using simplex-based chaotic-pso algorithm

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ID: 150995
2011
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Abstract
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.
Reference Key
gaing2011appliedcontingency-constrained Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Zwe-Lee Gaing;Chia-Hung Lin
Journal journal of evidence-based complementary & alternative medicine
Year 2011
DOI
10.1155/2011/942672
URL
http://dx.doi.org/10.1155/2011/942672
Keywords
computer science electronic computers

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