基于移动储能时空优化调度的配电网韧性提升策略

Distribution network resilience improvement strategy based on time-spaceoptimal scheduling of mobile energy storage

针对极端天气灾害造成配电网供电短缺问题,首先提出考虑多类型极端天气的配电网统一故障率计算模型,实现配电网灾前故障场景预测;然后提出包含整体韧性和恢复速度的配电网韧性评估指标,灾害发生前,以天气灾害预判场景为依据,建立以负荷削减量、移动储能移动成本和充放电成本最小为目标的移动储能预调度模型,有效减少灾时停电时间,灾害发生后,随着灾害进程的变化,交通路况受极端天气影响呈现出不同程度的拥堵或湿滑情况,进而影响了移动储能车的实际应灾救援能力,因此提出考虑交通网影响的移动储能救援态和充电态的时空动态优化调度方法;最后以我国东北某城市实际冰灾为案例进行分析,结果表明考虑极端天气对交通路网影响的移动储能“灾前+灾后”多模态调度策略可有效提升配电网的韧性水平.

Aiming at the problem of power supply shortage in a distribution network caused by extreme weather disasters,a unified failure rate calculation model of a distribution network considering various types of extreme weather is proposed to realize the pre-disaster failure scenario prediction of the distribution network.Then,an evaluation index of distribution network resilience including overall resilience and reccovery speed is proposed.Before the disaster occurs,based on the weather disaster prediction scenario,a mobile energy storage pre-scheduling model is established with the target of minimum load reduction,mobile energy storage mobile cost and charge-discharge cost,so as to effectively reduce the blackout time in disaster.After the disaster occurs,with the change of the course of the disaster,the traffic conditions under the influence of extreme weather present different degrees of congestion or slippery conditions,which further affects the actual disaster relief capability of the mobile energy storage vehicles.Therefore,a time-space dynamic optimization scheduling method of mobile energy storage rescue state and charging state considering the influence of the traffic network is proposed.Finally,taking the actual ice disaster in a northeast city as an example,the results show that the mobile energy storage“pre-disaster+post-disaster”multimodal scheduling strategy considering the impact of extreme weather on the traffic network can effectively improve the resilience level of the distribution network.