考虑交通路网应急电源车调度的有源配电网故障均衡恢复

极端灾害事件下配电网发生大面积、长时间停电事故后,含有分布式能源和应急电源车(EPS)的有源配电网可以形成孤岛为失电负荷供电.针对抢修完成前具有同等权重的各关键负荷可持续恢复供电时间不公平带来的用户满意度下降问题,建立了考虑EPS调度的动态孤岛均衡供电恢复双层模型,以关键负荷恢复均衡性最佳和配电网经济效益最大为上、下两层目标函数,实现了停电周期内同等权重负荷的公平、均衡恢复.同时,为减少EPS调度成本和负荷停电损失,基于上述双层模型和Dijkstra算法建立了交通路网模型支撑下的EPS优化调度方法,得到其最佳候选接入节点和最优调度路径.然后通过Big-M等线性化方法将原数学模型转换为混合整数线性规划问题求解,并通过修改的PG&E 69节点配电网及其灾后交通路网算例验证了所提方法在提高故障阶段配电网供电可靠性、均衡性、经济性方面的效果.

Balanced Fault Recovery of Active Distribution Network Considering Emergency Power Supply Vehicle Scheduling in Traffic Network

After a large-scale and long-term blackout accident in the distribution network under extreme disaster events, the active distribution network with distributed energy resource and emergency power supply vehicles (EPS) can form islands to supply power for the load. Before the completion of fault repair, aiming at the problem that the unfairness of the sustainable restoration time of each key load with the same weight leads to the decrease of customer satisfaction. This paper establishes a two-layer model of dynamic islanding balanced recovery, which considering the scheduling of EPS. It sets the optimal balance of critical load restoration and the maximum economic benefit of the distribution network as the upper and lower objective functions, respectively, and realizes the fair and balanced restoration of loads with the same weight in the outage period. At the same time, in order to reduce the cost of EPS scheduling and load outage loss, based on the above two-layer model and Dijkstra algorithm, an optimal scheduling method of EPS supported by the traffic network model is established, and the best candidate access node and optimal scheduling path are obtained. Then, the original mathematical model is transformed into a mixed-integer linear programming problem by using Big-M and other linearization methods. Finally, a modified PG&E 69-bus model and a traffic network are used to verify the effectiveness of the proposed method for improving the reliability, equilibrium and economy of power supply in the fault stage.