Open AccessApplication of genetic algorithm for problem of optimizing location and capacity of distributed generation considering distributed network reconfiguration
Author(s) -
Linh Nguyen,
Thuan Thanh Nguyen,
Trieu Ngoc Ton,
Anh Truong,
Xuan Anh Nguyen
Publication year - 2018
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v20ik7.1205
Subject(s) - control reconfiguration , genetic algorithm , computer science , distributed generation , distributed computing , mathematical optimization , power (physics) , algorithm , mathematics , embedded system , machine learning , physics , quantum mechanics
This paper presents a method of determining the location and size of distributed generation (DG) considering to operate the configuration of distribution network to minimize the real power loss. The proposed method which is based on the genetic algorithm (GA) is divided into two stages. In the first stage, GA is used to optimize the location and size of DG in the mesh distribution network, while in the second stage, GA is used to determine the radial network configuration after installing DG. The simulation results on the 33-nodes and 69-nodes systems show that the proposed method can be an efficient method for the placing DG problem and that is considering to solve the problem of distribution network reconfiguration.