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Economic Load Dispatch of IEEE-26 Bus System with the use of Ant Colony Optimization Technique

Author(s):

Pirmahamad Jamalbhai Vasovala , Parul Institute of Engineering and Technology; Chinmay Y. Jani, Parul Institute of Engineering and Technology; Vasim H. Ghanchi, The Maharaja Sayajirao University of Baroda, Vadodara; Parth Harshad Kumar Bhavsar, Parul Institute of Engineering and Technology

Keywords:

Ant Colony Optimization, Optimal power flow, meta-heuristic, IEEE Systems, power systems, optimization.

Abstract

Optimal System operation involves the Consideration of economy of operation, system security, emission of certain fossil-fuel plant. The main aim of this study is to minimize the fuel cost and to keep the power outputs of the generator within prescribed limit with the use of An Ant colony Optimization Techniques. It is based on the ideas of ant foraging by pheromone communication to make path. Ant Colony Optimization technique is a meta-heuristic approach for solving hard combinatorial optimization problems which can be applied for power system optimization. The work reported in this paper is carried out with the objective to make use of Ant colony Optimization for solving the economic load dispatch problem. IEEE-26 Bus 6 generator system is considered to test the Algorithm with cost functions. The proposed approach result has been compared to those which reported in the literature.

Other Details

Paper ID: IJSRDV2I3139
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1213-1217

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