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.

Keywords

Faulty Node Protective Relay Restoration Algorithm Test Feeder Genetic Algorithm Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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