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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Network Reconfiguration for Minimizing Power Loss by Moth Swarm Algorithm

Author 1: Thuan Thanh Nguyen
Author 2: Duong Thanh Long

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110705

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 7, 2020.

  • Abstract and Keywords
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Abstract: This paper presents a network reconfiguration approach for minimizing power loss of the distribution system based on moth swarm algorithm (MSA). The MSA is a recent metaheuristic inspired from the navigational technique of moths in the dark for finding food sources. For searching optimal solution, MSA used three different mechanisms of generating new solutions consisting of Lévy-flights, Gaussian walks and spiral flight. The effectiveness of MSA is validated on two distribution systems consisting of the 33-nodes and 69-nodes. The simulation results are compared to particle swarm optimization and other available approaches in the literature. The calculated results on the test systems show that MSA can be an effective and reliable tool for the NR problems.

Keywords: Network reconfiguration; moth swarm algorithm; power loss; particle swarm optimization; distribution system

Thuan Thanh Nguyen and Duong Thanh Long, “Network Reconfiguration for Minimizing Power Loss by Moth Swarm Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 11(7), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110705

@article{Nguyen2020,
title = {Network Reconfiguration for Minimizing Power Loss by Moth Swarm Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110705},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110705},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {7},
author = {Thuan Thanh Nguyen and Duong Thanh Long}
}


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