摘要
研究了一种测量介质损耗角δ的总体最小二乘–旋转矢量不变技术算法,它是一种基于子空间划分的高分辨率信号分析方法,把信号划分为信号子空间和噪声子空间,兼具提取基波和消噪的功能,能达到信号参数的高精度提取。通过准确提取施加在容性设备上的电压和泄漏电流的初相位计算出介损角δ。仿真结果表明,该方法计算介损角时,受电网频率波动、谐波含量、介损角大小变化的影响小,与其它方法相比是一种精度较高的介损角测量算法。
A dielectric loss angle measurement algorithm based on total least square-estimation of signal parameters via rotational invariance techniques （TLS-ESPRIT） is proposed. The proposed method is a subspace division-based high-resolution signal analysis approach, which divides the signal into signal subspace and noise subspace and processes the functions of fundamental harmonic extraction and noise reduction, to implement the high-resolution extraction of signal parameters. By means of extracting both voltage applied to capacitive equipment and initial phase of leakage current accurately, the dielectric loss angle can be calculated. Simulation results show that the proposed method can offer a more accurate dielectric loss angle measurement result and comparing with other methods for this purpose, the proposed method is less affected by power network frequency fluctuation, content of harmonics and variation of dielectric loss angle.
出处
《电网技术》
EI
CSCD
北大核心
2009年第18期171-175,共5页
Power System Technology
关键词
介损角
正弦波参数
小波消噪
总体最小二乘-旋转矢量不变技术
dielectric loss angle
parameters of sinusoidal wave
wavelet denoising
TLS-ESPRIT （total least squareestimation of signal parameters via rotational invariance techniques）
