基于正交法的均方根计算在电力实时监测系统中的实现

S. A. Hussain, F. Zaro, M. A. Abido
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引用次数: 5

摘要

准确的电力系统监测对于发现电网内的供电问题起着至关重要的作用。在所有被监测的参数中,基于有效值的测量用于检测系统内各种基于电压的事件。基于IEEE和IEC的标准利用每半个周期重复的全周期瞬时样本来计算均方根。这些测量并非没有限制,特别是对于短时间的变化。本文提出了以90度间隔采样的4个瞬时采样点(基于正交的均方根)来估计均方根并进一步实时检测电压事件。实验验证了该方法的有效性,并将其应用于Labview FPGA CompactRio平台上的电压事件监测。实验结果表明,该方法能够在较少样本的情况下有效地估计信号均方根值。
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Implementation of quadrature based RMS calculation on real-time power monitoring systems
Accurate power system monitoring plays a vital role in detection of supply problems within the supply grid. Of all parameters being monitored, rms based measurements are used to detect various voltage based events within the system. IEEE and IEC based standards utilize full cycle instantaneous samples repeated every half a cycle for the calculation of rms. These measurements are not without limitations especially for short duration variations. This paper proposes 4-instantaneous sample points sampled at 90 degrees apart (quadrature based rms) to estimate rms and further detect voltage events in real-time. The proposed method is experimentally tested and applied for voltage events monitoring using Labview FPGA CompactRio platform. The results demonstrate the effectiveness of the proposed method for estimating the signal rms value with less number of samples.
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