Optimal reconfiguration of distribution system by PSO and GA using graph theory

  • Authors:

  • Mehdi Assadian;Malihe M. Farsangi;Hossein Nezamabadi-pour

  • Affiliations:

  • Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

  • Venue:
  • AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
  • Year:
  • 2007

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Abstract

This paper investigates the ability of particle swarm optimization (PSO) in cooperating by graph theory for network reconfiguration to reduce the power loss and voltage profile enhancement of distribution system. The numerical results are presented on a distribution system to illustrate the feasibility of the proposed method by PSO using graph theory. Furthermore, to validate the obtained results by PSO using graph theory, Genetic Algorithm (GA) using graph theory is applied and the results are compared.