Optimal Allocation of Shared Energy Storage Based on Transmission Network Zoning

XU Haidong; DING Yifan; WANG Renshun; GENG Guangchao; JIANG Quanyuan; SUN Feifei

doi:10.13334/j.0258-8013.pcsee.240752

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Optimal Allocation of Shared Energy Storage Based on Transmission Network Zoning

更新时间：2026-01-20

- Optimal Allocation of Shared Energy Storage Based on Transmission Network Zoning
- Vol. 45, Issue 19, Pages: 7539-7551(2025)
- 作者机构：
  
  1. 浙江大学工程师学院,浙江省,杭州市,310015
  2. 国网浙江省电力有限公司经济技术研究院,浙江省,杭州市,310008
  3. 浙江大学电气工程学院,浙江省,杭州市,310027
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240752
  CLC：
- Published：2025
- 稿件说明：
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XU Haidong, DING Yifan, WANG Renshun, et al. Optimal Allocation of Shared Energy Storage Based on Transmission Network Zoning[J]. 2025, 45(19): 7539-7551.
DOI：

XU Haidong, DING Yifan, WANG Renshun, et al. Optimal Allocation of Shared Energy Storage Based on Transmission Network Zoning[J]. 2025, 45(19): 7539-7551. DOI： 10.13334/j.0258-8013.pcsee.240752.

摘要

针对共享储能服务范围不明确、新能源侧储能备用冗余配置的问题，提出一种基于输电网络区域划分的共享储能优化配置方法。首先，结合电力系统网络结构、节点、线路的动态特性，提出输电网络共享区域划分指标；其次，将输电网络区域划分问题抽象为图论模型，并以模块度指标和负载率约束为依据对模型进行化简，借鉴Dijkstra算法的思想，求解以实现划分指标最优为目标的区域划分问题，完成对输电网络的区域划分；然后，建立基于输电网络区域划分的共享储能选址定容模型，实现覆盖全网的共享储能优化配置；最后，算例部分通过分析区域划分结果以及区域划分对储能配置的影响验证该文方法的有效性。

Abstract

Aiming at the problem of unclear scope of shared energy storage services and redundant configuration of energy storage reserve on the new energy side

an optimal allocation method of shared energy storage considering transmission grid zonal reserve is proposed. Firstly

combined with the power system network structure and dynamic characteristics of nodes and lines

the regional division index of shared transmission network is proposed. Secondly

the regional division problem of transmission network is abstracted into a graph theory model

and the model is simplified based on the modularity index and load rate constraints. The idea of Dijkstra algorithm is used to solve the regional division problem optimize the division index and complete the regional division. Then

a shared energy storage siting and sizing model considering zonal backup is established to realize the optimal configuration of shared energy storage covering the whole network. Finally

the effectiveness of the proposed method is verified based on the example by analyzing the regional division results and the influence of regional division on energy storage configuration.

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