Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity

被引:0
|
作者
Li, Ping [1 ]
Dong, Henan [1 ]
Zhang, Guanfeng [1 ]
Bai, Xue [1 ]
Zhao, Xin [2 ]
机构
[1] Elect Power Res Inst, State Grid Liaoning Elect Power Co Ltd, Shenyang 110006, Liaoning, Peoples R China
[2] Northeastern Univ, Shenyang 110819, Liaoning, Peoples R China
关键词
Distributed power generation; Loss reduction; Multi-objective optimization; DC power flow;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits. The distribution problem of distributed generation is an optimization problem. In this paper, we first determine the line loss by the improved power flow algorithm, and then determine the location and capacity of distributed generation by the improved gray wolf optimization algorithm for the purpose of minimizing the loss and voltage deviation of the distribution network. The improved gray wolf optimization algorithm has the advantages of fast convergence and strong globalization. We conducted experiments using the IEEE33 bus standard radial distribution network. From the tested results, it can be concluded that the proposed method can significantly reduce the active power losses in the distribution network. (c) 2023 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1001 / 1012
页数:12
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