| 引用本文: | 李一璞,周云,冯冬涵,李恒杰,沈非凡.考虑移动储能动态路径引导的配电网协同恢复策略[J].电力自动化设备,2025,45(5):47-55. |
| LI Yipu,ZHOU Yun,FENG Donghan,LI Hengjie,SHEN Feifan.Coordinated restoration strategy of distribution network considering dynamic path guidance of mobile energy storage[J].Electric Power Automation Equipment,2025,45(5):47-55. |
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| 摘要: |
| 针对极端灾害造成的配电网大面积停电场景，研究了电网侧卡车式移动储能和用户侧巡游电动出租车等移动储能在支撑配电网恢复中的作用。特别是配电网恢复过程中如何实现移动储能的动态路径引导以进一步提高配电网恢复效率，包括配电网恢复方案与移动储能行驶路径的联合优化和移动储能调度路径的动态调整与优化。基于此，提出了考虑移动储能动态路径引导的配电网协同恢复策略。建立配电网多时段恢复优化模型；采用时间-空间网络建立移动储能在交通网络中的时空转移模型；采用时间-空间网络停车弧变量等表征移动储能与配电网节点的连接关系，建立兼容移动储能动态电源节点的配电网改进拓扑约束；基于移动储能时空转移模型、配电网恢复滚动优化流程、交通路网参数动态更新机制等建立考虑移动储能动态路径引导的配电网协同恢复优化模型及对应求解流程。通过上海真实区域配电网算例验证所提方法的可行性与有效性。 |
| 关键词: 配电网恢复 卡车式移动储能 电动出租车 时间-空间网络 滚动优化 |
| DOI：10.16081/j.epae.202404005 |
| 分类号:TM71 |
| 基金项目:国家自然科学基金资助项目(51907122,52167014)；上海市科委科技计划项目(23QB1400500,23XD1422000) |
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| Coordinated restoration strategy of distribution network considering dynamic path guidance of mobile energy storage |
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LI Yipu1, ZHOU Yun1, FENG Donghan1, LI Hengjie2, SHEN Feifan3
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1.Key Laboratory of Power Transmission and Power Conversion Control, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China;2.School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;3.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
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| Abstract: |
| For the large-scale power outage caused by extreme disasters, the potential of mobile energy storage(MES) resources including grid-side truck-mounted mobile battery(TMMB) and user-side roaming electric taxis(E-taxis) in supporting distribution network restoration is investigated. Specifically, the study focuses on how to dynamically guide the path of MES during the restoration process to further improve the efficiency of the distribution network restoration, which includes the joint optimization of distribution network restoration plans and MES travel routes, and the dynamic adjustment and optimization of MES scheduling travel routes. On this basis, a coordinated restoration strategy of power distribution network considering dynamic path guidance of MES is proposed. A multi-time period power grid restoration optimization model is established. A time-space network(TSN) is used to establish a time-space transfer model for MES in the transportation network. Subsequently, the connection relationship between MES and distribution network buses is characterized by using TSN parking arc variables, and an improved topology constraint for distribution network that accommodates dynamic power buses formed by MESs is set up. Based on the MES time-space transfer model, the rolling optimization process for distribution network restoration and the dynamic update mechanism for traffic network parameters, the coordinated restoration model of distribution network considering dynamic path guidance of MES and its corresponding solution process are established. The feasibility and effectiveness of the proposed method are verified through case analysis for a real regional distribution network in Shanghai, China. |
| Key words: distribution network restoration truck-mounted mobile battery electric taxi time-space network rolling optimization |
