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PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System Applications

机译:基于PMU的ROCOF测量:电力系统应用中的不确定性限制和计量意义

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In modern power systems, the Rate-of-Change-of-Frequency (ROCOF) may be largely employed in Wide Area Monitoring, Protection, and Control (WAMPAC) applications. However, a standard approach toward ROCOF measurements is still missing. In this paper, we investigate the feasibility of Phasor Measurement Units (PMUs) deployment in ROCOF-based applications, with a specific focus on Under-Frequency Load-Shedding (UFLS). For this analysis, we select three state-of-the-art window-based synchrophasor estimation algorithms and compare different signal models, ROCOF estimation techniques, and window lengths in datasets inspired by real-world acquisitions. In this sense, we are able to carry out a sensitivity analysis of the behavior of a PMU-based UFLS control scheme. Based on the proposed results, PMUs prove to be accurate ROCOF meters, as long as the harmonic and interharmonic distortion within the measurement pass-bandwidth is scarce. In the presence of transient events, the synchrophasor model loses its appropriateness as the signal energy spreads over the entire spectrum and cannot be approximated as a sequence of narrow-band components. Finally, we validate the actual feasibility of PMU-based UFLS in a real-time simulated scenario where we compare two different ROCOF estimation techniques with a frequency-based control scheme, and we show their impact on the successful grid restoration.
机译:在现代电力系统中,频率变化率(ROCOF)可以很大程度上用于广域的监控,保护和控制(WAMPAC)应用。但是,仍缺少rocof测量的标准方法。在本文中,我们调查了基于Rocof的应用程序中的Phasor测量单元(PMU)部署的可行性,具体侧重于频率负载脱落(UFL)。对于此分析,我们选择三个基于窗口的同步验证仪估计算法,并比较由现实世界获取启发的数据集中的不同信号模型,罗频估计技术和窗口长度。从这个意义上讲,我们能够对基于PMU的UFL控制方案的行为进行敏感性分析。基于所提出的结果,PMU被证明是准确的罗频仪表,只要测量通道带宽内的谐波和互动畸变是稀缺的。在存在瞬态事件的情况下,随着信号能量在整个频谱上扩展并且不能作为一系列窄带部件逐次来丢失其适当性。最后,我们在实时模拟场景中验证了基于PMU的UFL的实际可行性,其中我们比较了两种不同的rocof估计技术,其中包含基于频率的控制方案,并且我们对成功的网格恢复产生了影响。

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