首页> 外文会议>2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe >Influence of A/D quantization in the fast and accurate grid signal estimation for a PV system using I class Rife-Vincent time windows
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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时间窗的A / D量化对光伏系统快速准确的电网信号估计的影响

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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电网信号参数的估计。本文提出了一种基于FFT程序,I类Rife-Vincent时间窗和3点谱插值的估计方法。实时系统中的精度取决于几个参数:采样数N,窗口阶数H的值,A / D转换器位数b,测量窗口CiR中信号周期的值。总估计误差由两个分量组成,但实际上(N = 64,...,2048; b = 8,...,24),使用A / D转换器引起的分量占主导地位(与平方根成反比) N值和2b)。呈现的表达式允许在开始估计过程之前针对给定的b,N,H和CiR值计算最大估计误差,这从实际的观点(例如,A / D转换器的最佳选择)来看非常重要。 CiR = 0.5(10 ms),H = 3,b = 16和N = 512的估计误差约为10 -5 Hz / Hz。

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