基于偏最小二乘回归的系统谐波阻抗与谐波发射水平的评估方法

提出了一种基于偏最小二乘回归的系统谐波阻抗及用户谐波发射水平的估计方法。利用在公共连接点同步测量得到的谐波电压和谐波电流信号，通过偏最小二乘回归算法求解回归系数；对测量数据信息进行分解和筛选，提取对因变量解释性最强的综合变量，辩识系统中的信息与噪声，从而更好地克服变量相关性在系统建模中的不良作用。由回归系数映射出系统谐波阻抗，并跟踪计算用户的谐波发射水平。通过仿真分析以及实际工程实测数据的分析验证了该方法的有效性。

Assessing Harmonic Impedance and the Harmonic Emission Level Based on Partial Least-squares Regression Method

A new method for assessing harmonic impedance and the harmonic emission level is preseented, which is based on the partial least-squares regression. Utilizing the signals of harmonic voltage and harmonic current measured synchronously at PCC, regression coefficients are worked out through partial least-squares algorithm. By separating and filtering the measured data, the comprehensive variables which can explain dependent variables most effectively are distilled, and then the useful information and noise are identified from the measured data. Therefore, the disadvantage of variable dependence in establishing of the system model is overcome. After that, the supply harmonic impedance is got, consequently the harmonic emission level of customer is calculated. The simulation analysis and the analytic result of practical engineering road-testing data indicate that the proposed method is valid and feasible.