基于马氏距离算法的配电网故障定位系统研究

为了满足智能配电网故障定位的实时性、可靠性、准确性等需求,提出了基于马氏距离算法的配电网故障定位系统。以IDT智能配电终端作为系统运行状态电气量实时采集核心模块,按F检验获得元件电气量变化显著性概率P值初判故障元件和故障类型后,通过马氏距离算法准确定位故障区域和故障元件,并采用IEEE9节点系统的三相短路故障对配电网故障定位系统进行测试分析。仿真结果表明,该系统能真实地反映配电网故障后故障区域和故障元件的电气量变化,可满足智能配电网在线故障定位需求。

Study on Distribution Network Fault Location System Based on Mahalanobis Distance Algorithm

In order to meet the requirements of real-time, reliability and accuracy of fault location in smart distribution network, the distribution network fault location system based Mahalanobis distance algorithm is proposed. Using IDT terminal as the core function model of the system, F test is adopted to obtain the variation significance probability of electrical components. And the faulty components and fault type is determined preliminarily. Then it accurately locates the distribution network fault zone and fault components with Mahalanobis distance algorithm. Finally, three-phase short-circuit fault of IEEE9 node system is used to test the distribution network fault location system. Simulation results show that the system can truly reflect the distribution network fault region and the failure electrical component variation, which can meet requirements of online fault location of the smart distribution network.