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Frequency Estimation of Multifrequency Signals Based on the 3-Point and 4-Point Spectrum Interpolation for Short Measurement Time in PV Systems

机译:基于PV系统短测量时间的三点和4点频谱插值的多频信号的频率估计

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Multifrequency signals occur e.g. in photovoltaic systems where the estimation of frequency is very important to drive the inverter. This paper presents an comparison of the estimation method based on the FFT procedure, MSD time windows and the 3-point/4-point spectrum interpolation. Results show that more accurate (up to several times) is the method with three points of the spectrum taken into calculations. Simulations were performed for the tested signal without disturbances, for harmonic components and for AWGN noise for various measurement parameters. The method is very accurate and very fast (even below one cycle of the tested signal). The accuracy for the 3-point interpolation is approximately 2×10∧-8 Hz/Hz for 128 samples in the measurement window and 1.2 cycle of the signal. Obtained results can be very useful because they show the accuracy in various measurement conditions and also show that the method with three points of the signal spectrum is optimal in the tested range up to two measured signal cycles.
机译:发生多频性信号。在估计频率估计的光伏系统中以驱动逆变器非常重要。本文介绍了基于FFT过程,MSD时间窗口和3点/ 4点频谱插值的估计方法的比较。结果表明,更准确的(最多几次)是将频谱的三点分析的方法。对测试信号进行模拟,对于用于各种测量参数的谐波分量和AWGN噪声的扰动。该方法非常精确,非常快(甚至低于测试信号的一个周期)。 3点插值的准确性约为2×10-8 Hz / Hz在测量窗口中为128个样本和1.2个信号的循环。因为它们显示出在不同的测量条件的准确性和还表明,与信号频谱的三个点的方法是最佳的测试范围最多两个测量信号周期所获得的结果是非常有用的。

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