Open AccessOptimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm
Author(s) -
Trieu Ngoc Ton,
Thuan Thanh Nguyen,
Anh-Viet Truong,
Thi Hong Quan Vu
Publication year - 2020
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.3372
Subject(s) - metaheuristic , computer science , algorithm , power (physics) , power loss , mathematical optimization , electric power system , mathematics , physics , quantum mechanics
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.