考虑道路抢修和负荷恢复的电动汽车分层调度策略

Hierarchical Scheduling Strategy for Electric Vehicle Considering Road Repair and Load Restoration

为了解决极端灾害过后的负荷恢复问题,提出了一种城市道路抢修辅助重要负荷恢复的电动汽车能量时空分层调度策略。在第1阶段,通过建立并集成电动汽车路径规划模型和多时段协同的重要负荷恢复模型,确定电动汽车能量的最优空间配置;在第2阶段,建立道路抢修队路径规划模型并与电动汽车路径规划模型进行统筹优化,确定道路抢修队的抢修顺序与路径,求解电动汽车到达充放电站的时间与剩余能量;在第3阶段,统筹配电网内各供电源和各重要负荷,以最大化加权负荷供电时间为目标,确定能量在时间尺度上的优化配置。最后,考虑配电网-交通网耦合的灾后故障场景,对不同策略的调度结果进行对比分析并探究道路抢修对于负荷恢复的辅助作用。结果表明,所提策略可以充分发挥电动汽车能量的时空灵活性,合理协调电动汽车和道路抢修队之间的行动决策,在一定程度上提高了重要负荷的恢复效果。

In order to solve the load restoration problem after an extreme disaster,a spatio-temporal hierarchical scheduling strategy for electric vehicle(EV)energy is proposed to assist the critical load restoration by urban road repair.In the first stage,the optimal spatial allocation of EV energy is determined by building and integrating the route planning model of EVs and the multiperiod coordinated critical load restoration model.In the second stage,the route planning model of road repair crews is established,and then the integrated optimization with the route planning model of EVs is conducted.The repairing orders and routes of road repair crews are determined,and the time and remaining energy when EVs reach the charging stations are solved.In the third stage,the power supply sources and critical loads of the distribution network are considered to determine the optimal allocation of the energy on the time scale with the objective of maximizing the weighted supply time.Finally,considering the post-disaster fault scenarios in the coupled transportation and distribution network,the scheduling results of different strategies are compared and analyzed,and the assistance effect of the road repair on load restoration is explored.The results show that the proposed strategy can give full play to the spatio-temporal flexibility of EV energy,reasonably coordinate the action decisions between EVs and road repair crews,and then improve the restoration effect of critical loads to a certain extent.