基于TLS-ESPRIT的电力系统低频振荡模态参数提取方法

Model Parameters Extracting Method of Low-Frequency Oscillations in Power Systems Based on TLS-ESPRIT

将总体最小二乘—旋转矢量不变技术(LTS-ESPRIT)算法应用到低频振荡模态参数的提取中,它是1种基于子空间划分的高分辨率信号分析方法,将振荡功率信号形成HANKEL矩阵,通过奇异值分解进行信号子空间和噪声子空间的划分,再通过总体最小二乘(TLS)的二次消噪处理提高抗噪能力,准确提取低频振荡的模态参数。仿真结果表明,该算法具有精度高、抗噪能力强、算法简单的优点。实测数据进一步验证了该方法的可行性和有效性。

An array signal processing method TLS-ESPRIT（total least squares-estimation of signal parameters via rotational invariance technique） is applied in extracting the model parameters of low-frequency oscillations in power systems.This method is a high-resolution method based on subspace analysis,which decomposes HANKEL matrix into signal subspace and noise subspace and is denoised by TLS（total least square） again,so it can improve the capacity of anti-noise.It can extract the the model parameters of low-frequency oscillations accurately.The simulation example demonstrates that this method has the advantages of higher precision, stronger anti-noise capacity,and is easier than other extracting methods.The actual data analysis proves that this method is feasible and available.