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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Improved Multiobjective Particle Swarm Optimization for Environmental/Economic Dispatch Problem in Power System
verfasst von : Yali Wu, Liqing Xu, Jingqian Xue
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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An improved particle swarm optimization based on cultural algorithm is proposed to solve environmental/economic dispatch (EED) problem in power system. Population space evolves with the improved particle swarm optimization strategy. Three kinds of knowledge in belief space, named situational, normative and history knowledge are redefined respectively to accordance with the solution of multi-objective problem. The results of standard test systems demonstrate the superiority of the proposed algorithm in terms of the diversity and uniformity of the Pareto-optimal solutions obtained.