基于启发式搜索和模糊评价算法的配电网故障恢复

为快速恢复非故障失电区的供电,提出了一种基于启发式搜索和模糊评价的配电网故障后多目标快速供电恢复算法。算法首先从寻找有效的联络开关和分段开关开始搜索供电路径,通过潮流计算剔除不符合系统运行约束的开关组合。将恢复步骤分为自馈线恢复、整区恢复、分区恢复、转移负荷恢复和切负荷恢复,考虑了开关操作次数和用户优先级别,得出初始供电恢复方案。然后,引入模糊评价,从最少开关操作次数、负荷转移量、馈线容量裕度和最大电压降4个方面衡量候选方案,并根据实际情况为其赋予不同的权重,通过加权值的大小选择最佳的供电方案作为最终的方案。最后,算例分析证明了所提恢复算法的可行性和高效性。

Heuristic research and fuzzy evaluation for-post-faultrestoration in distribution networks

A heuristic research and fuzzy evaluation fault restoration algorithm for distribution network is proposed to quickly restore power supply for the regions where power supply is interrupted. The algorithm searches power supply paths by finding effective tie-switches and sectionalizing switches, and eliminates improper switch pair according to power flow calculation. During service restoration process, the problem is divided into self-healing restoration, whole-region restoration, sub-region restoration, load-transfer restoration and load shedding restoration. The algorithm takes switch operation times and customer priority into account, and consequently, obtains initial feasible schemes. Fuzzy technique is used to evaluate the schemes from minimal switch operation times, load transfer, feeder margin and maximal voltage drop. Weighted sum of four indices provides a good guideline for choosing the optimal scheme for restoration operation. Calculation results of a certain distribution network show that this algorithm is feasible.