The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
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Application of Adaptive Evolutionary Algorithm to Economic Load Dispatch with Nonconvex Cost Functions

NonConvex 비용함수를 가진 전력경제급전 문제에 적응진화 알고리즘의 적용

  • 문경준 (부산대 전기공학과 대학원) ;
  • 황기현 (부산대 컴퓨터 및 정보통신연구소 기금) ;
  • 박준호 (부산대 전기공학과)
  • Published : 2001.11.01
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Abstract

This paper suggests a new methodology of evolutionary computations - an Adaptive Evolutionary Algorithm (AEA) for solving the Economic Load Dispatch (ELD) problem which has piecewise quadratic cost functions and prohibited operating zones with many local minima. AEA uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations: global search capability of GA and local search capability of ES. In the reproduction procedure, proportions of the population by GA and the population by ES are adaptively modulated according to the fitness. Case studies illustrate the superiority of the proposed methods to existing conventional methods in power generation cost and computation time. The results demonstrate that the AEA can be applied successfully in the solution of ELD with piecewise quadratic cost functions and prohibited operating zones

Keywords

References

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