考虑时间尺度的含DG配电网故障动态恢复策略

Dynamic service restoration strategy considering time scale for distribution network with DGs

提出了考虑分布式电源(Distributed generation,DG)随时间变化的动态模型来解决含分布式电源的配电网故障恢复问题。实际情况中不同类型DG的实时输出功率随时间变化,考虑将时间尺度拉长,进行多时段的动态故障恢复。选取故障恢复时段内损失电量之和最小为主要目标函数,开关操作次数最少作为次要目标函数。该算法首先利用改进二进制粒子群算法(Binary Particle Swarm Optimization,BPSO)求得辐射状网络结构,排除大量不可行解,然后利用所提出的基于最优故障恢复路径策略进行切负荷操作。最后通过枚举组合对最小开关次数进行求解,得出最优的开关操作方案。算例结果证明,进行配电网故障恢复时考虑主网和DG的动态配合,能够最大限度恢复供电。

A model considering time variation of distributed generation （DG） is proposed here and successfully applied to solving fault recovery problem in distribution network. According to the actual situation that real-time output power of different types of DGs keeps changing over time, multi-period dynamic service restoration based on tensile time scales is considered. A minimum summation of load loss in the restoration period is selected as the main objective function, and the minimum number of switching operations as the secondary objective function. Firstly, the improved binary particle swarm optimization is applied to obtain radial network structure excluding a large number of infeasible solutions. Secondly, the strategy based on optimal recovery path proposed in this paper is used to perform load shedding operation. Lastly, the minimal switch operation problem is solved by enumeration-combination method, then the optimal service restoration switch scheme is eventually obtained. The example shows that maximized service restoration can be achieved with the dynamic coordination between the main grid and DGs.