Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm

Document Type : Research Paper

Authors

1 Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran

2 Department of Electrical Engineering, Noshirvani University of Technology, Babol, Iran

3 Department of Electrical Engineering, Semnan University, Semnan, Iran

Abstract

In this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. Two objective functions, real power loss and energy not supplied index (ENS), were utilized. Multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of original ACO. By proposed algorithm, a group of the best solutions can be obtained thatcalled pareto front. None of these solutions are completely better than others among this pareto front. Furtheremore, another objective function, i.e., voltage profile index has been separately considered to have better comparison between pareto front members. Simulations have been performed on two standard IEEE 16-bus and 33-bus test systems. The results show that the proposed heuristic modifiedalgorithm generates welldistributed Pareto optimal solutions for the multi-objective reconfiguration problem.

Keywords

Modeling and Simulation in Electrical and Electronics Engineering
Volume 01, Issue 1 - Serial Number 1
February 2015
Pages 23-33

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History

  • Receive Date: 15 May 2014
  • Revise Date: 07 July 2014
  • Accept Date: 07 October 2015

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