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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy
verfasst von : Daniel Cavalcanti Jeronymo, Leandro dos Santos Coelho, Yuri Cassio Campbell Borges
Erschienen in: Innovative Computing Methods and Their Applications to Engineering Problems
Verlag: Springer Berlin Heidelberg
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Economic dispatch is an important problem in power systems. This chapter presents how a method of stochastic optimization, a metaheuristic known as CLONALG (CLONal selection ALGorithm), can be applied to the economic dispatch problem. The objective function used in the optimization is based on Karush-Kuhn-Tucker conditions, thus, guaranteeing a convergence to the global optimum. Examples and results are presented showing the method is capable of finding the optimum solution while respecting power generation limits.