极端灾害下考虑动态重构的微网形成策略

随着极端自然灾害的日益频繁,为了充分发挥燃气轮机、燃料电池等可控分布式电源(DG)在极端情况下的支撑作用,文中提出了一种极端灾害下考虑动态重构的微网形成策略,提升可控DG对重要负荷供应的电量价值。首先,利用Wasserstein距离求解负荷概率分布的相似性,将各个负荷划分为不同的时间场景。其次,读取线路当前的状态信息,建立满足辐射状微网形成问题的约束条件,以最大化恢复负荷价值为目标函数,利用混合整数线性规划的方法求解微网形成的静态最优方案。最后,结合负荷的状态变化,求解无重构次数限制下的动态最优解,并考虑重构次数限制,以动态过程恢复负荷价值最大为优化目标,确定最优方案。结果表明,以Wasserstein距离负荷状态划分为基础的动态重构,提升了配电网在极端环境下支撑负荷的电量价值。

Microgrid formation strategy considering dynamic reconstruction under extreme disasters

With the frequent occurrence of extreme natural disasters, in order to make the supporting effect of distributed generation (DG) work, such as gas turbine and fuel cell, a microgrid formation strategy considering dynamic reconstruction under extreme natural disasters is proposed, which increases the value of controllable DG to support critical loads. Firstly, Wasserstein distance is used to calculate the similarity of load probability distribution. And each load is divided into different time scenarios. Then, the current state information of the line is read. And the constraints satisfying the formation problem of radial microgrid are established. Taking maximizing the load recovery value as the objective function, the method of mixed integer linear programming is used to solve the static optimal solution for the formation of microgrid. At last, combined with the state change of loads, the dynamic optimal solution is solved without the limit of reconstruction times to find out the moment of structure change. After that, the limit of the number of reconstruction times is taken into account, and the optimal plan is determined to maximize value of the load in the dynamic process. The results show that the dynamic reconfiguration based on Wasserstein distance improves the electric quantity value of the loads supported by distribution network in extreme environment.