Open AccessDETERMINATION OF THE POSITION AND SIZE OF DG IN UNBALANCED RADIAL DISTRIBUTION SYSTEM USING COYOTE ALGORITHM
Author(s) -
Anh Truong,
Trieu Ngoc Ton
Publication year - 2022
Publication title -
khoa học và công nghệ
Language(s) - English
Resource type - Journals
ISSN - 2525-2267
DOI - 10.46242/jstiuh.v52i05.4115
Subject(s) - position (finance) , meta heuristic , heuristic , mathematical optimization , power (physics) , power loss , algorithm , computer science , process (computing) , optimization algorithm , mathematics , physics , finance , quantum mechanics , economics , operating system
This paper proposes a method to optimize the position and size of distributed generations (DGs) based on Coyote algorithm (COA) to minimize the power loss of the radial unbalanced distribution system (URDS). The proposed COA method is a recently developed meta heuristic algorithm, inspired by the social life of the North American wolf. COA does not need to use control parameters in the application process for the optimization problem. The proposed method, using COA to optimize the installation of DG for URDS in order to bring about the minimum effective power loss. The results of the proposed method were tested on URDS 25 buses and compared with another method, showing its effectiveness against URDS.