基于改进循环系统算法的配电网中光储系统协同优化方法
Collaborative Optimization Method for Photovoltaic and Energy Storage System in Distribution Network Based on Improved Circulatory System Algorithm
- 高压电器 2026年62卷第4期 页码：199-207
- 作者机构：
北京信息科技大学，北京 100192
许昌开普检测研究院股份有限公司，河南许昌 461000
- 作者简介：
魏于凯（1997—），男，硕士，研究方向为新能源与储能的配置与控制（E-mail：1424040820@qq.com）。
赵波（1977—），男，博士，研究员，教授级高级工程师，主要从事新能源与储能、电力电子技术在电力系统中的应用开发研究工作（通信作者）（E-mail：lingshanisland@126.com）。
- 基金信息：国网江苏省电力有限公司科技项目。Project Supported by Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd..(H2022040)
DOI：10.13296/j.1001-1609.hva.2026.04.023
中图分类号：收稿：2025-09-20，
修回：2025-12-05，
纸质出版：2026-04-16
- 稿件说明：
移动端阅览
魏于凯, 赵波, 张芳, 等. 基于改进循环系统算法的配电网中光储系统协同优化方法[J]. 高压电器, 2026,62(4):199-207.
WEI Yukai, ZHAO Bo, ZHANG Fang, et al. Collaborative Optimization Method for Photovoltaic and Energy Storage System in Distribution Network Based on Improved Circulatory System Algorithm[J]. High Voltage Apparatus, 2026, 62(4): 199-207.
魏于凯, 赵波, 张芳, 等. 基于改进循环系统算法的配电网中光储系统协同优化方法[J]. 高压电器, 2026,62(4):199-207. DOI： 10.13296/j.1001-1609.hva.2026.04.023.
WEI Yukai, ZHAO Bo, ZHANG Fang, et al. Collaborative Optimization Method for Photovoltaic and Energy Storage System in Distribution Network Based on Improved Circulatory System Algorithm[J]. High Voltage Apparatus, 2026, 62(4): 199-207. DOI： 10.13296/j.1001-1609.hva.2026.04.023.
摘要
为加快构建以新能源为主体的新型电力系统，提高新能源装机比例的同时保障配电网经济稳定运行，在含高渗透率光伏配电网储能系统优化配置的基础上，提出一种光伏与储能系统协同优化的方法。建立使配电网电压波动最小、光伏渗透率最大、总规划成本最优的光储系统协同优化模型。由于模型中的高维非线性多目标问题，采用传统优化算法已难以寻求最优解，因此使用一种循环系统优化（circulatory system based optimization，CSBO）算法，为增加算法对模型问题求解的适应性，引入一种精英策略选择机制并基于快速非支配排序对算法进行改进，并使用熵权法对最优解进行选择。算例分析显示，运用改进的循环系统算法能够得到配电网中最优的光储系统配置方案；与优化光伏装机容量后再配置储能系统相比，协同优化方式使光伏装机容量提升23.5%，规划成本下降4.5%；并通过对比多种智能算法，证明了改进的循环系统算法具有更强的性能。
Abstract
For accelerating the construction of new type of power system with new energy as the main body
and increasing the proportion of new energy installed capacity while ensuring the economic and stable operation of the distribution network
a method for the collaborative optimization of photovoltaic and energy storage systens is proposed on the optimal configuration of energy storage systems in distribution networks wigh high-penetration photovoltaics. A collaborative optimization model that minimizes voltage fluctuations in the distribution network
maximizes photovoltaic permeability and optimizes overall planning costs is set up. Due to the high-dimensional nonlinear multi-objective problem in the model
it is difficult to find the optimal solution using traditional optimization algorithms. Therefore
a circulatory system based optimization(CSBO)algorithm is used. To enhance the algorithm's adaptability in solving the model problem
an elite strategy selection mechanism is introduced and the algorithm is improved based on fast non-dominated sorting. The entropy weight method is then used to select the optimal solution.The example analysis shows that the use of the improved CSBO can get the optimal configuration scheme of the distribution network. The collaborative optimization method
compared wiht the the photovoltaic installed capacity followed by configuring the energy storage system
can increase the photovoltaic installed capacity by 23.5% and reduce the planning cost by 4.5%.Additionally
by comparing multiple intelligent algorithms
it is demonstrated that the improved CSBO exhibits superior performance.
关键词
Keywords
references
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