Optimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm

Authors

  • T. N. Ton Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • T. T. Nguyen Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam http://orcid.org/0000-0002-6351-475X
  • A. V. Truong Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • T. P. Vu Vietnam National University-Ho Chi Minh City, Vietnam
Volume: 10 | Issue: 1 | Pages: 5325-5329 | February 2020 | https://doi.org/10.48084/etasr.3372

Abstract

This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA is a reliable tool for optimizing the location and size of DGs in an EDS.

Keywords:

distributed generators, coyote algorithm, electric distribution system, power loss, radial configuration

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How to Cite

[1]
T. N. Ton, T. T. Nguyen, A. V. Truong, and T. P. Vu, “Optimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 1, pp. 5325–5329, Feb. 2020.

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