电力系统自动化2024，Vol.48Issue(3)：62-72,11.DOI:10.7500/AEPS20230503001
考虑移动式储能调度的配电网灾后多源协同孤岛运行策略
Post-disaster Multi-source Cooperative Islanding Operation Strategy for Distribution Network Considering Mobile Energy Storage System Dispatching
摘要
Abstract
Aiming at the phenomenon of large-area power failure in the distribution network caused by extreme events,in the background of traffic-grid coupling,this paper proposes a post-disaster multi-source cooperative islanding operation strategy for the distribution network considering mobile energy storage system dispatching.First,based on the post-disaster operation framework in the background of traffic-grid coupling,with the objective of minimizing the weighted load shedding,and considering the influence of traffic flow changes on the dispatching process of mobile energy storage system,a multi-source cooperative islanding operation model is established.Then,according to the characteristics of the proposed model and the decision-making requirements,the decision-making process of islanding operation is established based on the two-stage optimization framework to ensure the coordination of load restoration between the island area after power loss and the area with local power supply.Finally,a case of IEEE 33-bus distribution network coupled with 29-bus traffic network is used to verify the effectiveness of the proposed strategy.The results show that the proposed islanding operation strategy can give full play to the collaborative ability of all power sources in the post-disaster distribution network restoration,achieve the optimal distribution and transfer of limited electricity,and effectively improve the post-disaster restoration effect of distribution network.关键词
有源配电网/移动式储能系统/调度/路-电耦合/多源协同/孤岛运行/两阶段优化Key words
active distribution network/mobile energy storage system/dispatching/traffic-grid coupling/multi-source cooperation/islanding operation/two-stage optimization引用本文复制引用
王育飞,李可铭,薛花,于艾清,米阳..考虑移动式储能调度的配电网灾后多源协同孤岛运行策略[J].电力系统自动化,2024,48(3):62-72,11.基金项目
国家自然科学基金资助项目(61873159) （61873159）
上海市科技创新行动计划项目(22010501400). This work is supported by National Natural Science Foundation of China(No.61873159)and Shanghai Science and Technology Innovation Action Plan(No.22010501400). （22010501400）
