频率偏差下电能质量监测的一周期交流均方根计算

G.E. Mog, E. Ribeiro
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引用次数: 9

摘要

交流电力系统质量参数的测量和监测需要进行电压、电流的均方根值等计算。这些计算是用监测波形的样本进行的,样本频率等于波的标称频率的N倍。传统算法将N视为一个常数整数。当实际频率偏离其标称值时,在计算中引入误差,并在几个周期内使用平均值来减少这些误差。然而,对于瞬时质量参数,为了快速检测干扰,必须每个周期执行这些计算;平均是不切实际的。本文的目的是介绍一种方法来最小化使N为变量和非整数的这些错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
One cycle AC RMS calculations for power quality monitoring under frequency deviation
Measuring and monitoring quality parameters of AC power systems requires several calculations, such as RMS values of voltage and current. These calculations are performed with samples of the monitored waveforms, at a sample frequency equal to N times the nominal frequency of waves. Conventional algorithms regard N as a constant integer. When the actual frequency has a deviation from its nominal value, errors are introduced in the calculations, and averages are used over several cycles to reduce these errors. However, for instantaneous quality parameters, these calculations must be performed every cycle for quick disturbance detection; averages are impracticable. The purpose of this article is to introduce a method to minimize these errors making N variable and a noninteger.
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