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文章摘要
考虑主动配电网脆弱性的分布式储能配置
Distributed energy storage configuration considering the vulnerability of active distribution network
Received:May 26, 2022  Revised:June 15, 2022
DOI:10.19753/j.issn1001-1390.2025.02.005
中文关键词: 分布式储能  选址定容  泰尔熵  基尼系数  粒子群算法
英文关键词: distributed energy storage, locating and sizing, Theil entropy, Gini coefficient, particle swarm optimization
基金项目:国家自然科学基金资助项目(52107132) ;浙江省属高校基本科研业务费专项资金资助项目(2021YW42)
Author NameAffiliationE-mail
Zhu Peixue School of Mechanical and Electrical Engineering, China Jiliang University 2523199872@qq.com 
Guo qian School of Mechanical and Electrical Engineering, China Jiliang University guoqmail@cjlu.edu.cn 
Li Lingzhi* School of Mechanical and Electrical Engineering, China Jiliang University 20a0102180@cjlu.edu.cn 
Zheng Di School of Mechanical and Electrical Engineering, China Jiliang University di.zh@cjlu.edu.cn 
Caihui School of Mechanical and Electrical Engineering, China Jiliang University caihui@cjlu.edu.cn 
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中文摘要:
      分布式电源大规模并网,有助于实现“双碳”目标,但也加剧了主动配电网的脆弱性。而储能装置的接入能有效支撑电网脆弱环节。基于基尼系数以及泰尔熵理论分别评价主动配电网拓扑结构中功率传输的均匀性和运行状态中电压冲击分布的均衡程度,从结构和状态两方面构造各节点的综合脆弱性指标,划定分布式储能安装范围。文中提出一种分布式储能定容双层优化方案:外层以经济效益最优为目标,在约束条件中考虑储能对配电网脆弱性的改善程度,采用粒子群优化算法求解储能容量;内层以削峰填谷效果最优为目标,基于储能恒功率充放电策略,针对不同容量制定最优充放电策略,实现储能充放电优化。IEEE 33节点系统的算例结果表明,所提出的储能配置方法能有效改善主动配电网的脆弱性,且具备经济优势。
英文摘要:
      Large-scale grid-connection of distributed power helps to achieve the goal of "dual carbon", but also exacerbates the vulnerability of active distribution network. The access of energy storage device can effectively support the vulnerable link of power grid. Based on the Gini coefficient and Theil entropy theory, the uniformity of power transmission in the topology of active distribution network and the equilibrium degree of voltage shock distribution in the operation state were evaluated respectively. The comprehensive vulnerability index of each node was constructed from the structure and state, and the installation scope of distributed energy storage was defined. In this paper, a double-layer optimization scheme of distributed energy storage with constant volume is proposed. In the outer layer, the optimal economic benefit is taken as the objective, the improvement degree of energy storage to the vulnerability of distribution network is considered in the constraint conditions, and the energy storage capacity is solved by particle swarm optimization algorithm. The inner layer aims at the optimal effect of peak shaving and valley filling. Based on the constant power charge and discharge strategy of energy storage, the optimal charge and discharge strategy is formulated for different capacities to realize the optimization of energy storage charge and discharge. The calculation results of IEEE 33-node system show that the proposed energy storage configuration method can effectively improve the vulnerability of active distribution network and has economic advantages.
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