基于LS-SVM的谐波阻抗估计方法

为解决谐波阻抗不易直接获取的问题,提出一种基于最小二乘支持向量机LS-SVM(least squares support vector machine)估计系统谐波阻抗的新方法.利用最小二乘支持向量机构建回归模型,引入Lagrange乘子得到拉格朗日函数,并求解得到模型参数.将公共连接点PCC(point of com...

Harmonic Impedance Estimation Method Based on Least Squares Support Vector Machine

To solve the problem that it is difficult to directly extract harmonic impedance,a novel method based on least squares support vector machine(LS-SVM)is proposed to estimate the harmonic impedance of a system.A regres?sion model is built using LS-SVM,and the Lagrange multiplier is introduced to obtain the Lagrange function,which is further solved to obtain the model parameters.The harmonic voltage and harmonic current signals measured at the point of common coupling(PCC)are substituted into the LS-SVM model to estimate the system’s harmonic impedance.The simulation analysis of equivalent circuit and error analysis prove that compared with binary linear regression and SVM,this method has a higher accuracy,a stronger robustness,and a higher precision.Finally,the effectiveness of the pro?posed method is verified through the analysis of engineering measured data and the comparison with the results obtained using other harmonic impedance estimation methods.