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

Autor:	Anh Viet Truong, Trieu Ngoc Ton, Thuan Thanh Nguyen, T. P. Vu
Rok vydání:	2020
Předmět:	Reduction (complexity) Distribution system Power loss Computer science Control parameters Algorithm Metaheuristic
Zdroj:	Engineering, Technology & Applied Science Research. 10:5325-5329
ISSN:	1792-8036 2241-4487
DOI:	10.48084/etasr.3372
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2f158a1a1d6283fca3fa79c6b8e0c7f5 https://doi.org/10.48084/etasr.3372 Zobrazit plný text záznamu