Genetic Based Distribution Service Restoration with Minimum Average Energy Not Supplied

  • Thitipong Charuwat
  • Thanatchai Kulworawanichpong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4431)

Abstract

This paper presents optimal planning of tie-switch operation in an electric power distribution system under an emergency feed condition, i.e. operation during a post-fault condition. A heuristic fault isolation algorithm and a genetic-based service restoration algorithm are proposed and compared. With the proposed restoration algorithm, high reliable service of electric distribution systems is expected. To ensure a small number of customer interruption, average energy not supplied (AENS) is used as the objective function to be minimized. 25-node and 118-node distribution test feeders were employed for test. Satisfactory results show that the genetic approach is appropriate to a kind of tie-switch operation planning in order to minimize effects of a permanent fault on customer service interruption.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Thitipong Charuwat
    • 1
  • Thanatchai Kulworawanichpong
    • 1
  1. 1.Power and Energy Research Group, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000Thailand

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