基于EV集群调度的配电网孤岛划分及弹性恢复策略

Island Partitioning and Elastic Recovery Strategies for Distribution Networks Based on EV Cluster Scheduling

  • 摘要: 针对灾害过程中,配电网所形成的孤岛可能出现弹性支撑能力不足,导致功率调节失衡,甚至引发系统崩溃的问题,提出一种配电网灾害中孤岛划分弹性应急处置策略。首先,考虑风、光电源的波动特性,建立风光储分布式能源模型,考虑电动汽车集群的源荷双属性聚合与交通流影响,建立电动汽车时变聚合电池模型。其次,以最小化开关次数、失电负荷节点个数为主要目标,建立以新能源电源、电动汽车与储能电站协同配合的新型配电网孤岛划分模型,结合电源出力和负荷波动等约束,利用优化求解器进行求解,最大化灾害中孤岛的应急弹性恢复能力。最后,以新疆某城市配电网系统为算例进行仿真验证,结果表明,所提策略在降低新型配电网孤岛划分成本的同时,可以提升配电网灾害下负荷应急恢复能力,增强系统运行弹性。

     

    Abstract: During disasters, islands created by partitioning distribution networks may face inadequate elastic support capacity, leading to power regulation imbalances and even system collapse. This study proposes an elastic emergency response strategy for island partitioning in distribution networks during disasters. Firstly, considering the fluctuation characteristics of wind and solar power sources, a distributed energy model for wind-solar-storage systems is established. Additionally, considering the aggregation of source-load dual attributes and the impact of traffic flow of electric vehicle clusters, a time-varying aggregation battery model for electric vehicles is developed. Secondly, aiming to minimize switch operations and the number of load nodes experiencing power loss, a new island partitioning model for distribution networks is proposed. This model coordinates new energy sources, electric vehicles, and energy storage stations. By applying constraints such as power output and load fluctuations, an optimization solver is employed to maximize the emergency elastic recovery capacity of islands during disasters. Finally, a case study of a distribution network system in a certain city in Xinjiang is used for simulation verification. The results indicate that the proposed strategy reduces the cost of partitioning new distribution network islands while enhancing the emergency recovery capability of the distribution network during disasters and improving system operational resilience.

     

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