A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm

  • Kit Po Wong
  • An Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1285)


This paper is devoted to the development of a technique for the enhancement of the convergence of genetic algorithms. Based on the concept of solution acceleration, a technique is proposed and applied to a constrained-genetic-algorithm load-flow algorithm CGALF recently developed for solving the problem of evaluating the voltage profile and power flow in electric power networks. The enhanced CGALF algorithm is applied to a practical power system to illustrate the effectiveness of the developed method.


genetic algorithms optimisation power system load flow 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Kit Po Wong
    • 1
  • An Li
    • 1
  1. 1.Artificial Intelligence and Power Systems Research Group Department of Electrical and Electronic EngineeringUniversity of Western AustraliaNedlandsWestern Australia

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