Journal of Electrical Engineering and information Science

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

Power Flow Solution Using an Improved Fitness Function in Genetic Algorithms

  • Seungchan Chang (Dept. of Electrical Energy Conservation, RaCER) ;
  • Lim, Jae-Yoon (Dept. of Electrical Engineering, Chungnam Junior College) ;
  • Kim, Jung-Hoon (Dept. of Electrical Engineering, Hong-Ik University)
  • 발행 : 1997.10.01
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초록

This paper presets a methodology of improving a conventional model in power systems using Genetic Algorithms(GAs) and suggests a GAs-based model which can directly solve the real-valued optimum in an optimization procedure. In applying GAs to the power flow, a new fitness mapping method is proposed using the proposed using the probability distribution function for all the payoffs in the population pool. In this approach, both the notions on a way of the genetic representation, and a realization of the genetic operators are fully discussed to evaluate he GAs' effectiveness. The proposed method is applied to IEEE 5-bus, 14-bus and 25-bus systems and, the results of computational experiments suggest a direct applicability of GAs to more complicated power system problems even if they contain nonlinear algebraic equations.

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참고문헌

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