Application of Adaptive Evolutionary Algorithm to Economic Load Dispatch with Nonconvex Cost Functions

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  • Kim Tae Yong
    Division of Computer & Information Engineering, Dongseo University
  • Chang Won-Tae
    Division of Computer & Information Engineering, Dongseo University
  • Hwang Gi-Hyun
    Division of Computer & Information Engineering, Dongseo University

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Abstract

This paper presents a new adaptive evolutionary algorithm (AEA) by integrating genetic algorithm (GA) and evolution strategy (ES) to solve the economic dispatch with piecewise quadratic cost functions and prohibited operating zones. AEA consists of GA for a global search capability and ES for a local search in an adaptive manner when the present generation evolves into the next generation. AEA is algorithm that ratio of population of GA and ES is adaptively modified in reproduction according to the fitness. Numerical results show that the proposed method is more effective than other previously developed methods and it can be applied successfully in problems with nonconvex functions.

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