Research Article | OPEN ACCESS
An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach
N.H. Shamsudin, N.F. Omar, A.R. Abdullah, M.F. Sulaima, N.A. Abidullah and H.I. Jaafar
Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya,
76100 Durian Tunggal, Melaka, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2014 8:1029-1035
Received: May 21, 2014 | Accepted: July 13, 2014 | Published: August 25, 2014
Abstract
This study presents the implementation of Improved Genetic Algorithm (IGA) to minimize the power losses in the distribution network by improving selection operator pertaining to the least losses generated from the algorithm. The major part of power losses in electrical power network was highly contributed from the distribution system. Thus, the need of restructuring the topological of distribution network configuration from its primary feeders should be considered. The switches identification within different probabilities cases for reconfiguration purposes are comprehensively implemented through the proposed algorithm. The investigation was conducted to test the proposed algorithm on the 33 radial busses system and found to give the better results in minimizing power losses and voltage profile.
Keywords:
Distribution Network Reconfiguration (DNR), distribution systems , Genetic Algorithm (GA) , Improved Genetic Algorithm (IGA) , power losses,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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