东北电力技术2023，Vol.44Issue(12)：44-48,5.
基于鲸鱼优化算法的高渗透率分布式配电网储能选址研究
Research on Energy Storage Location of Photovoltaic High Permeability Distribution Network Based on Whale Optimization Algorithm
何奇 1苗桂喜 2元亮 2毛睿 3马辉3
作者信息
- 1. 国网宜昌供电公司,湖北 宜昌 443000
- 2. 国网安阳供电公司,河南 安阳 455000
- 3. 三峡大学电气与新能源学院,湖北 宜昌 443002
- 折叠
摘要
Abstract
Building a high proportion of new energy power systems is conducive to achieving the"dual carbon"goals and the utiliza-tion of renewable energy.Firstly,according to the problems of voltage fluctuations and power losses caused by high permeability dis-tributed photovoltaic connected to the distribution network,a whale optimization algorithm is proposed to analyze the location problem of battery energy storage system(BESS)in the distribution network.Then,the objective function is the network loss in the distribu-tion network,and the allowable range of voltage deviation and power capacity of the system are used as constraints to optimize the loca-tion of BESS connected to the distribution network.Finally,simulation analysis is carried out on IEEE33-node power distribution system for different scenarios.The experimental results show that the introduction of BESS in the high permeability distributed photovoltaic distribution network can effectively improve the voltage stability and reduce the network loss of power system.关键词
配电网/BESS/鲸鱼优化算法/选址优化Key words
distribution network/BESS/whale optimization algorithm/optimize the location分类
动力与电气工程引用本文复制引用
何奇,苗桂喜,元亮,毛睿,马辉..基于鲸鱼优化算法的高渗透率分布式配电网储能选址研究[J].东北电力技术,2023,44(12):44-48,5.
