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Initial results in using a self-coherence method for detecting sustained oscillations

机译:使用自相干方法检测持续振荡的初步结果

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This paper develops a self-coherence method for detecting sustained oscillations using phasor measurement unit (PMU) data. Sustained oscillations decrease system performance and introduce potential reliability issues. Timely detection of the oscillations at an early stage provides the opportunity for taking remedial reaction. Using high-speed time-synchronized PMU data, this paper details a self-coherence method for detecting sustained oscillation, even when the oscillation amplitude is lower than ambient noise. Simulation and field measurement data are used to evaluate the proposed method's performance. It is shown that the proposed method can detect sustained oscillations and estimate oscillation frequencies with a low signal-to-noise ratio. Comparison with a power spectral density method also shows that the proposed self-coherence method performs better.
机译:本文提出了一种使用相量测量单元(PMU)数据检测持续振荡的自相干方法。持续的振荡会降低系统性能并带来潜在的可靠性问题。在早期阶段及时发现振动为采取补救措施提供了机会。利用高速时间同步的PMU数据,本文详细介绍了一种自相干方法,即使当振荡幅度低于环境噪声时,该方法也可以检测到持续振荡。仿真和现场测量数据用于评估所提出方法的性能。结果表明,该方法可以检测出持续的振荡,并以较低的信噪比估计振荡频率。与功率谱密度方法的比较还表明,所提出的自相干方法性能更好。

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