基于正序电压变化量的故障电压暂降源定位算法

随着越来越多敏感负荷接入电网,由电压暂降问题直接及间接带来的经济损失日趋严重。在各类电压暂降中,故障引发的电压暂降占比最大,对其进行准确定位是高效治理电网故障的必要前提。文中针对故障型暂降源提出一种基于正序电压变化量的定位方法,基于发生故障时各监测点的正序电压分布特性,建立监测点信息库和各支路故障距离定位模型;然后基于马氏距离与Pearson相关系数定义相似度指标,利用信息库匹配的方法对故障所在支路进行初选;最后采用遗传算法对最优故障距离目标函数进行寻优,定位故障源。利用IEEE 14节点仿真系统对所提方法的有效性与准确性进行了验证。

Fault source location method for distribution network based on positive sequence voltage

As more and more devices sensitive to voltage fluctuation are widely connected to the power grid, the direct and indirect economic losses caused by the faults in the distribution network become more and more serious, which puts forward higher requirements for power supply quality. Accurate location of fault sources is an indispensable step in the treatment of power quality problems. In this paper, a fault source location method for distribution network based on positive sequence voltage is proposed for fault-type disturbance. Based on the distribution characteristics of positive sequence voltage at each monitoring point when a fault occurs, the information base of monitoring points and the fault distance location model of each branch are established. The concept of similarity index is defined based on the correlation coefficient between Mahalanobis distance and Pearson, which serves as the objective function to determine the location of the fault source to be located. The genetic algorithm is used to find the optimal fault distance as the location result. The effectiveness and accuracy of the proposed method are verified by simulation using IEEE 14-node network.