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

  • Mukherjee S
  • Roy P
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

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, 13(1), 1–21. https://doi.org/10.4018/ijamc.290537

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free