Volume 4, Issue 1, June 2018, Page: 1-7
BPSO Applied to TNEP Considering Adequacy Criterion
Meisam Mahdavi, Department of Electrical Engineering, São Paulo State University, Ilha Solteira, Brazil
Amir Bagheri, Department of Electrical Engineering, University of Zanjan, Zanjan, Iran
Received: Nov. 10, 2017;       Accepted: Jan. 19, 2018;       Published: Jan. 30, 2018
DOI: 10.11648/j.ajnna.20180401.11      View  1577      Downloads  76
Abstract
Different methods have been proposed to solve the static transmission network expansion planning (STNEP) problem up to now. But in all of these studies, loading of transmission lines has not been studied using binary particle swarm optimization (BPSO) algorithm. BPSO is a good optimization method to solve nonlinear large-scale problems with discrete variables like STNEP. Thus, in this paper, STNEP problem is being studied considering network adequacy criterion using BPSO. The goal of this paper is obtaining a configuration for network expansion with lowest expansion cost and a specific adequacy. The proposed idea has been tested on the Garvers network. The results show that the network will possess maximum efficiency economically.
Keywords
BPSO, Adequacy Criterion, STNEP
To cite this article
Meisam Mahdavi, Amir Bagheri, BPSO Applied to TNEP Considering Adequacy Criterion, American Journal of Neural Networks and Applications. Vol. 4, No. 1, 2018, pp. 1-7. doi: 10.11648/j.ajnna.20180401.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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