基于TLS-ESPRIT的电力系统基波检测新方法

A Novel Approach to Fundamental Frequency Measurement Based on TLS-ESPRIT

针对电力系统基波频率测量的现状,提出一种基于TLS-ESPRIT的高精度频率测量新方法.TLS-ESPRIT是一种现代信号处理方法,是子空间估计方法中的一种.该方法的信号模型中考虑了噪声的影响,因此,具较强的抗噪声能力.直接采用该法分析多重极点信号时会因受噪声的影响而得不到完全相等的多重极点.应用多重极点恢复的方法对其进行改进可得到精确的实际频率.针对有谐波、间谐波、噪声等复杂背景下的基频检测进行仿真分析,仿真结果表明:该方法检测精度高,抗噪声能力强,尤其对时变性较强的调幅性间谐波信号具有强适应性.

A novel method of frequency measurement based on improved TLS-ESPRIT（total least square estimation of signal parameters via rotational invariance techniques） is proposed in this paper with the research on fundamental frequency measurement in power system.TLS-ESPRIT belongs to subspace estimation in modern signal process.Noise is included in signal model,so it is independent of noise.But the same multi-poles cannot be taken when signal is in noise and based on TLS-ESPRIT.Restore of multiple poles is presented to take the true poles accurately.It is revealed that fundamental frequency is detected accurately in harmonics,interharmonics,noise and frequency fluctuations.The simulation results show that the method owns better anti-noise ability and particular better adaptiveness on time varying signal in amplitude.