基于Pearson相关性的有源配电网复故障定位与识别

Combination faults location and identification of active distribution network based on pearson correlation

故障的快速可靠定位与识别,对提高有源配电网的供电可靠性具有重要意义。针对有源配电网复故障问题,提出了一种基于Pearson相关性的故障定位与识别方法。利用故障前后电压波形的差异性,计算其Pearson相关系数,完成故障时刻确定。分析各节点1模电压与ABC三相电压的相关性,依据定位系数与定位阈值的关系判断故障位置,并通过定位系数跌落到阈值以下的节点数,实现复故障的定位。最后,提取故障位置的数据信息,计算0模电压和故障前三相电压的相关系数,根据负值判断故障相。通过IEEE 33有源配电网模型仿真结果表明,所提方法可以快速、准确地实现复故障的时刻确定、故障定位与故障相识别。

Reliable and rapid location and identification of combination faults is of great significance for improving the reliability of power supply in active distribution networks. Aiming at the problem of combination faults in active distribution networks, a fault location and identification method based on Pearson correlation is proposed.Using the difference of the voltage shape before and after the fault to calculate the Pearson correlation coefficient and complete the fault time determination. Analyze the correlation between the 1 mode voltage and the ABC three-phase voltage of each node, and judge the fault location based on the relationship between the positioning coefficient and the positioning threshold. And then, the number of nodes whose locating coefficient falls below the threshold can be used to locate combination faults. Finally, the data information of fault location is extracted,the correlation coefficient between 0-mode voltage and three-phase voltage before fault is calculated, and the fault phase is judged according to the negative value. The simulation results of the IEEE 33 active distribution network model show that the method can quickly and accurately realize the faults time determination, fault location and fault phase identification of combination faults.