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Influence of A/D quantization in the fast and accurate grid signal estimation for a PV system using I class Rife-Vincent time windows

机译:使用I类RIFE-Vincent Time Windows对PV系统的快速准确网格信号估计中A / D量化的影响

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Solar energy is one of the most popular renewable energy sources. The control process of the photovoltaic system is usually based on the estimation of grid signal parameters. This paper presents an estimation method based on the FFT procedure, I class Rife-Vincent time windows and the 3-point spectrum interpolation. The accuracy in a real time system depends on several parameters: number of samples N, the value of window order H, number of A/D converter bits b, the value of signal periods in a measurement window CiR. Total estimation errors consist of two components but in practice (N = 64, ..., 2048; b = 8, ..., 24) the component caused by using the A/D converter is dominant (inversely proportional to the square root of the N value and 2b). Presented expressions allow to calculate maximum estimation errors for given values of b, N, H and CiR before starting the estimation process which is very important from a practical point of view (e.g. optimal selection of the A/D converter). The estimation errors for CiR = 0.5 (10 ms), H = 3, b = 16 and N = 512 are approximately 10 -5 Hz/Hz.
机译:太阳能是最受欢迎的可再生能源之一。光伏系统的控制过程通常基于网格信号参数的估计。本文提出了一种基于FFT过程的估计方法,I类RIFE-Vincent Time Windows和3点频谱插值。实时系统中的准确性取决于若干参数:样本数N,窗口顺序H的值H,A / D转换器位B的数量,测量窗口中的信号周期的值。总估计误差包括两个组件,但实际上(n = 64,...,2048; b = 8,...,24)通过使用A / D转换器引起的组件是主导的(与平方根成反比n值和2b)。呈现的表达式允许计算B,N,H和Cir的给定值之前的最大估计误差在开始估计过程中,这是从实际的角度来看非常重要的(例如,A / D转换器的最佳选择)。 CIR = 0.5(10ms),H = 3,B = 16和n = 512的估计误差是约为10 -5 Hz / Hz。

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