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Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks

Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks

Suvabrata Mukherjee, Provas Kumar Roy
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 21
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799885405|DOI: 10.4018/IJAMC.290537
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MLA

Mukherjee, Suvabrata, and Provas Kumar Roy. "Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks." IJAMC vol.13, no.1 2022: pp.1-21. http://doi.org/10.4018/IJAMC.290537

APA

Mukherjee, S. & Roy, P. K. (2022). Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-21. http://doi.org/10.4018/IJAMC.290537

Chicago

Mukherjee, Suvabrata, and Provas Kumar Roy. "Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks," International Journal of Applied Metaheuristic Computing (IJAMC) 13, no.1: 1-21. http://doi.org/10.4018/IJAMC.290537

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Abstract

For optimum placement of distributed generation (DG) units in balanced radial distribution network for loss minimization, implementation of whale optimization algorithm (WOA), a state-of-the-art meta-heuristic optimization algorithm is proposed in this paper. Encouraged by bubble-net hunting strategy of whales, WOA mimes the collective practice of humpback whales. For validating performance in solving the mentioned problem, the suggested technique is implemented on IEEE 33-bus and IEEE 69-bus balanced radial distribution test networks. The obtained results demonstrate that feasible and effective solutions are obtained using the proposed approach and can be used as a propitious substitute in practical power systems to overcome the optimum DG siting and sizing issue. Also concerning the best knowledge of the authors, it is the first report on the application of WOA in solving optimum DG siting and sizing issue.