电气工程学报 ›› 2017, Vol. 12 ›› Issue (12): 33-39.doi: 10.11985/2017.12.005

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基于四阶混合平均累计量的TLS-ESPRIT算法在高压直流输电次同步振荡辨识中的应用

胡楠   

  1. 国网南通供电公司 南通 226000
  • 收稿日期:2017-04-24 出版日期:2017-12-25 发布日期:2019-12-18
  • 作者简介:胡 楠 男 1983年生,博士,工程师,主要研究方向为电力系统规划、调控运行等相关技术研究。

A TLS-ESPRIT Method Based Fourth-Order Mixed Mean Cumulant Applying for Identification of Subsynchronous Oscillation Modes in High Voltage DC System

Hu Nan   

  1. State Grid Nantong Supply Company Nantong 226000 China
  • Received:2017-04-24 Online:2017-12-25 Published:2019-12-18

摘要:

次同步振荡采集信号中含有的高斯白噪声,经过滤波处理后会转变为高斯色噪声。针对传统辨识方法在同时存在色噪声和白噪声环境中辨识精度不高的问题,本文从减少噪声的角度提出以实测信号的四阶混合平均累计量(FOMMC)的对角切片来代替实测信号,并结合总体最小二乘–旋转不变技术参数估计(TLS-ESPRIT)算法进行次同步振荡模态在线辨识。仿真结果表明,FOMMC-TLS-ESPRIT能够从强噪声环境中有效辨识次同步振荡模态,为次同步振荡的抑制奠定基础。

关键词: 次同步振荡, 四阶混合平均累积量, 总体最小二乘–旋转不变技术参数估计;, 高斯白噪声, 高斯色噪声

Abstract:

Besides white Gaussian noise, there is also colored Gaussian noise in the collected signals of the subsynchronous oscillations because the signals have been processed by band-pass filters. To identify modes rapidly and accurately, a method is proposed which combine fourth-order mixed mean cumulant with total least squares-estimation of signal parametersvia rotational invariance techniques (TLS-ESPRIT) algorithm in the paper. Considered the effect of colored Gaussian noise as well as white Gaussian noise , the proposed method substitudes the sampled signals by its fourth-order mixed mean cumulant (FOMMC) sequence along the diagonal line. The simulation result shows the robustness of the proposed method which can identify the dominant modes from the signals with additive colored and white Gaussian noise, and it helps to suppress subsynchronous oscillations further.

Key words: Subsynchronous oscillations, fourth-order mixed mean cumulant, TLS-ESPRIT, white Gaussian noise, colored Gaussian noise

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