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

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 03 Feb 2020Publisher:Engineering, Technology & Applied Science ResearchJournal:Engineering, Technology & Applied Science Research, volume 10, pages 5,325-5,329 (issn: 2241-4487, eissn: 1792-8036,

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Authors: Trieu Ngoc Ton; Thuan Thanh Nguyen; Anh-Viet Truong; Vu Tan Phat;

doi: 10.48084/etasr.3372 , 10.60692/f0bxa-vx115 , 10.60692/ky7a8-gr331 , 10.5281/zenodo.3659653 , 10.5281/zenodo.3659654

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

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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.

Related Organizations

An Giang University
Viet Nam
Industrial University of Ho Chi Minh City
Viet Nam
Vietnam National University, Ho Chi Minh City
Viet Nam
Ho Chi Minh City University of Technology and Education
Viet Nam

Keywords

Optimization, Distributed Power Generation, Distributed Generation, Metaheuristic, Energy Storage Systems, Quantum mechanics, Electric power system, Engineering, coyote algorithm, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, radial configuration, Electrical and Electronic Engineering, Power loss, Optimal Power Flow, Physics, Mathematical optimization, Electricity Market Operation and Optimization, Power (physics), Computer science, power loss, Integration of Distributed Generation in Power Systems, Algorithm, Control and Systems Engineering, Physical Sciences, Control and Synchronization in Microgrid Systems, distributed generators, Mathematics, electric distribution system

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