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多类型电源与储能协同的配电网规划优化

王砥凡 魏飞 蒋德玉 韩树山 李中凯 张盛林 王政伟 陈衡

综合智慧能源2025,Vol.47Issue(8):49-57,9.
综合智慧能源2025,Vol.47Issue(8):49-57,9.DOI:10.3969/j.issn.2097-0706.2025.08.006

多类型电源与储能协同的配电网规划优化

Optimization planning of distribution networks with multiple energy resources and energy storage coordination

王砥凡 1魏飞 1蒋德玉 1韩树山 1李中凯 1张盛林 1王政伟 2陈衡2

作者信息

  • 1. 国网山东省电力公司临沂供电公司,山东 临沂 273300
  • 2. 华北电力大学 能源动力与机械工程学院,北京 102206
  • 折叠

摘要

Abstract

With the large-scale integration of distributed energy resources such as small thermal power units,energy storage systems,wind turbines,photovoltaic systems,and electric vehicle charging stations,it is essential to optimize the system operating costs and transmission loss in distribution networks.Based on the output of multiple distributed energy resources and the load demand at different time periods within distribution networks,a multi-objective optimization model was established to analyze different line planning schemes for distribution networks.An improved multi-objective grey wolf optimizer integrated with the forward/backward sweep algorithm was used for optimization to optimize voltage and output of distributed energy resources at each node.Planning route scenarios with different typical characteristics were developed to analyze the effect of electric vehicle access at different nodes on line loss and system operating costs,thereby obtaining the optimal line planning scheme.Simulation calculations were conducted using the IEEE 33-bus system.The results showed that compared to traditional single-source power supply methods,the integration of distributed energy resources reduced transmission loss by 52.39%.Additionally,the hybrid system combining renewable energy with electric vehicle charging stations could effectively reduce system operating costs,providing a reference for large-scale integration of charging stations into distribution networks in the future.

关键词

配电网/分布式电源/优化规划/电动汽车充电桩/多目标灰狼算法/前推回代算法/输电损耗

Key words

distribution network/distributed energy resources/optimization planning/electric vehicle charging station/multi-objective grey wolf optimizer/forward/backward sweep algorithm/transmission loss

分类

能源科技

引用本文复制引用

王砥凡,魏飞,蒋德玉,韩树山,李中凯,张盛林,王政伟,陈衡..多类型电源与储能协同的配电网规划优化[J].综合智慧能源,2025,47(8):49-57,9.

基金项目

国网山东省电力公司科技项目(520607240008)State Grid Shandong Electric Power Company Technology Project(520607240008) (520607240008)

综合智慧能源

2097-0706

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