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Wavelet-Based Power System Stabilizer

机译:基于小波的电力系统稳定器

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This paper proposes a wavelet-based power system stabilizer (WPSS) by using both the scaling coefficient energy and the wavelet coefficient energy with border distortions of a one-cycle sliding window. The boundary scaling coefficient energy is used for real-time extraction and compensation of electromechanical oscillations in the synchronous generator, whereas the boundary wavelet coefficient energy is used for the real-time detection of electrical oscillations and for tripping the WPSS at the fault inception time. The performance of the proposed WPSS was assessed in an experimental power system laboratory setup and compared with a conventional power system stabilizer.
机译:本文提出了一种基于小波的电力系统稳定器(WPSS),该方法同时使用了比例系数能量和具有单周期滑动窗口边界变形的小波系数能量。边界比例系数能量用于实时提取和补偿同步发电机中的机电振荡,而边界小波系数能量用于实时检测电振荡并在故障开始时使WPSS跳闸。拟议的WPSS的性能是在实验性电力系统实验室设置中评估的,并与常规电力系统稳定器进行了比较。

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