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High-Accuracy, Wide-Range Frequency Estimation Methods for Power System Signals Under Nonsinusoidal Conditions

机译:非正弦条件下电力系统信号的高精度,大范围频率估计方法

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摘要

A numerical differentiation-based algorithm for high-accuracy, wide-range frequency estimation of power systems is proposed in this paper. The signal includes up to 31st-order harmonic components. Using the central numerical differentiation of multipoints on the basis of Lagrange interpolation, the estimated frequency of nonsinusoidal signals of power systems can be measured at an accuracy of 99.999% over a wide range of from 10 to 100 Hz with fundamental amplitude varying from 100 to 300 V and with a fundamental phase angle varying from 0 to 360. The proposed algorithm needs at most two cycles or 40 ms for estimation of frequency over 40 to 60 Hz, and needs at most three cycles or 60 ms over 10 to 40 Hz or 60 to 100 Hz. Using Matlab software, the simulation results of the test example are satisfactory.
机译:提出了一种基于数值微分的电力系统高精度,宽频率估计算法。该信号最多包含31阶谐波分量。利用基于Lagrange插值的多点中心数值微分,可以在10至100 Hz的宽范围内,基本振幅从100至300的范围内,以99.999%的精度测量电力系统非正弦信号的估计频率。 V,并且基本相位角在0到360之间变化。提出的算法最多需要两个周期或40 ms来估算40至60 Hz上的频率,并且最多需要三个周期或60 ms则要在10到40 Hz或60上至100 Hz使用Matlab软件,测试示例的仿真结果令人满意。

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