许爱华,李建良,毕凯,张凯翔,吴涛
XU Aihua,LI Jianliang,BI Kai,ZHANG Kaixiang,WU Tao

• 1:东北石油大学电气信息工程学院

摘要(Abstract)：

“双碳”目标下，以光伏、风电为代表的分布式电源在配电网中的渗透率不断攀升。然而，新能源固有的波动性导致配电网稳定性下降、脆弱性增加，威胁电网安全。针对这一问题，提出一种考虑集群划分的DES（分布式储能）规划策略。首先，根据电气模块度、功率平衡度及节点隶属度指标对配电网进行合理的集群划分。其次，综合考虑配电网脆弱性、有功损耗及经济性，建立DES规划模型。采用改进的麻雀算法，以集群为单位，求解DES最佳接入位置及容量。最后，在IEEE 33节点系统进行仿真验证，仿真结果表明，所提DES规划策略降低了配电网的脆弱性，减少了网络有功损耗和负荷峰谷差，证明了所提策略的合理性。
Under the “dual-carbon” goals, the penetration of distributed generation, represented by photovoltaic and wind power, has continued to increase in distribution networks. However, the inherent intermittency and variability of renewable energy sources reduce distribution network stability and increase system vulnerability, thereby threatening grid security. To address this issue, a distributed energy storage(DES) planning strategy considering cluster partitioning is proposed. First, the distribution network is partitioned into clusters based on electrical modularity, power balance degree, and node membership indices. Subsequently, a DES planning model is established by comprehensively considering distribution network vulnerability, active power losses, and economic performance. An improved sparrow search algorithm(SSA) is adopted to determine the optimal installation locations and capacities of DES units on a cluster basis. Finally, simulation studies are conducted on the IEEE 33-bus system. Results demonstrate that the proposed DES planning strategy reduces distribution network vulnerability, decreases active power losses, and mitigates peak-valley load differences, thereby verifying the rationality of the proposed approach.

关键词(KeyWords)： 分布式储能规划;改进麻雀算法;集群划分;配电网脆弱性;经济性
distributed energy storage planning;improved sparrow search algorithm;clustering partition;distribution network vulnerability;economic efficiency

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划（2022YFE0206800）

作者(Author): 许爱华,李建良,毕凯,张凯翔,吴涛
XU Aihua,LI Jianliang,BI Kai,ZHANG Kaixiang,WU Tao

DOI: 10.19585/j.zjdl.202606010

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