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基于广义最小二乘回归的谐波发射水平估算方法

Assessing The Harmonic Emission Level Based on Generalized Least Squares Regression
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摘要 电网中存在多种有色噪声,为克服这些信号的影响,提出了一种基于广义最小二乘回归的系统谐波阻抗及用户谐波发射水平的估计方法。该方法在对有色噪声辨识上,比传统的二元线性回归方法更加的准确,辨识精度更高。该方法主要运用转化的思想,将有色噪声转化为一般噪声的方法。通过仿真分析验证了该方法的有效性。 To suppress the effects of colored noise in the voltage and current signals, a method based on generalized least squares regression is proposed to assessing harmonic impedance and the harmonic emission level. The method is more accurate and more accurate than the traditional binary linear regression method in the identification of colored noise. The method mainly uses the idea of transformation, converting the colored noise to the white noise through whitening filter. The simulation analysis indicates that the proposed method is valid and feasible.
出处 《自动化与仪器仪表》 2017年第5期30-32,36,共4页 Automation & Instrumentation
关键词 谐波阻抗 谐波发射水平 广义最小二乘回归 责任划分 harmonic impedance harmonic emission level generalized least squares regression responsibility division
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