Document Type : Research Paper
Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran
Department of Electrical Engineering, Noshirvani University of Technology, Babol, Iran
Department of Electrical Engineering, Semnan University, Semnan, Iran
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.