上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (9): 1309-1322.doi: 10.16183/j.cnki.jsjtu.2023.021

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑微能网接入主动配电网的共享储能多目标配置

米阳1(), 陈宇阳1, 陈博洋1, 韩云昊1, 袁明瀚2   

  1. 1.上海电力大学 电气工程学院,上海 200090
    2.国网上海市电力公司,上海 200120
  • 收稿日期:2023-01-19 修回日期:2023-03-24 接受日期:2023-04-17 出版日期:2024-09-28 发布日期:2024-10-11
  • 作者简介:米 阳(1976—),教授,博士生导师,现主要从事配电网规划研究;E-mail:miyangmi@163.com.
  • 基金资助:
    国家自然科学基金资助项目(61873159);上海市自然科学基金(22ZR1425500)

Shared Energy Storage Multi-Objective Allocation Strategy Considering Integrated Energy Microgrid Access to Active Distribution Network

MI Yang1(), CHEN Yuyang1, CHEN Boyang1, HAN Yunhao1, YUAN Minghan2   

  1. 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2. State Grid Shanghai Electric Power Company, Shanghai 200120, China
  • Received:2023-01-19 Revised:2023-03-24 Accepted:2023-04-17 Online:2024-09-28 Published:2024-10-11

摘要:

为充分利用共享储能在提高经济性与能源利用率等方面的优势,同时在主动配电网中发挥综合能源微网多能互补与耦合的作用,提出考虑综合能源微网接入主动配电网情况下的共享储能多目标优化配置策略.首先,分析配电网的经济性、电压稳定性以及共享储能的配置容量3方面的优化目标,同时考虑主动配电网的源、网、荷侧多灵活资源的协调运行,对主动配电网与综合能源微网进行建模;再基于帕累托最优的多目标粒子群算法对模型进行求解.最后,结合IEEE33节点配电系统建立共享储能配置的优化算例,验证所提配置策略的有效性.

关键词: 主动配电网, 储能, 综合能源微网, 多目标优化, 帕累托最优理论

Abstract:

In order to give full play to the advantages of shared energy storage in improving economy and energy utilization, while considering the role of multi-energy complementation and coupling of integrated energy microgrids in active distribution networks, a multi-objective optimal allocation strategy of shared energy storage is proposed for the active distribution network connected with integrated energy microgrid. First, the optimization objectives of the economy and voltage stability of the distribution network and the configuration capacity of the shared energy storage are analyzed, the coordinated operation of the source-net-load side multi-flexible resources of the active distribution network is considered, and the active distribution network and the integrated energy microgrid are modeled. Then, the model is solved based on the Pareto optimal multi-objective particle swarm algorithm. Finally, the optimization algorithm of shared energy storage configuration is established in conjunction with the IEEE 33-node distribution system to verify the effectiveness of the proposed configuration strategy.

Key words: active distribution network, energy storage, integrated energy microgrid (IEM), multi-objective optimization, Pareto optimal theory

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