谐波源和闪变源的识别算法

Identification algorithm of harmonic source and flicker source

从多个负荷中鉴别出谐波和闪变的扰动源,有利于明确电能质量问题责任,进行针对性治理。提出一种谐波源和闪变源的识别算法。通过移动窗数据处理方式计算公共连接点(PCC)电压与各负荷支路电流的最大相关系数,据此评价电压与电流波形相似度,实现多支路负荷中非线性负荷的识别,鉴别出普通负荷与谐波、闪变扰动源负荷;比较PCC电压与扰动源负荷电流的变化方向,利用电压增量与电流增量之积判断PCC电压与扰动源电流变化方向的相关性,区分谐波源与闪变源。仿真分析表明,在谐波源和闪变源同时存在的场合,所提算法可以实现这2种电能质量扰动源的准确定位。

An algorithm for identifying the harmonic and flicker sources from multiple loads is proposed,which calculates the maximum correlation coefficient between load current and PCC（Point of Common Coupling） voltage based on the moving window approach of sampled data,assesses their waveform similarity,detects the harmonic and flicker disturbance source loads from normal loads,compares the variation direction between PCC voltage and disturbance source load,estimates the correlation between these two directions by the product of voltage increment and current increment,and identifies the harmonic and flicker sources.Simulative results show that,the proposed algorithm locates the power quality disturbance sources when both harmonic source and flicker source exist.