IMPLEMENTATION OF PSO-BASED OPTIMAL DISTRIBUTED GENERATORS (DG) SIZING AND LOCATION USING MATLAB

Authors

  • Ibekwe, I. K. Ph. D Department of Electrical and Electronic Engineering. Enugu State University of Science and Technology, ESUT, Enugu.
  • Prof Eneh. I.I. Department of Electrical and Electronic Engineering. Enugu State University of Science and Technology, ESUT, Enugu.

Keywords:

Particle Swarm Optimization (PSO),, Distributed generators (DG),, Sizing and Location, Implementation

Abstract

This paper is on Implementation of the Particle Swarm Optimization (PSO)-based Optimal Distributed generators (DG) Sizing and Location using Matlab. The implemented PSO was executed to obtain the optimum size(s) and optimum location(s) of the DGs. Having determined the optimum size(s) and location(s), the optimally sized DGs were integrated into their optimum locations for network loss reduction. The number of DGs was three; the locations are buses 5, 9, and 11 while the corresponding optimum DG sizes are: 0.495+ j0.264, 759 + j0.172 MW, and 0.641 + j0.264 MW. The optimum loss obtained represents a 9.055pureduction in loss relative to the network with no DG connected. It is not surprising that the type-two DGs performed better than the type-one DGs. This is because, by supplying both active and reactive power at the load points, the network is offered efficient active and reactive power support

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Published

2023-12-18

How to Cite

Ibekwe, . I. K., & Eneh, I. (2023). IMPLEMENTATION OF PSO-BASED OPTIMAL DISTRIBUTED GENERATORS (DG) SIZING AND LOCATION USING MATLAB. Irish International Journal of Engineering and Applied Sciences, 7(6), 12–25. Retrieved from https://aspjournals.org/Journals/index.php/iijeas/article/view/534

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