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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >Hilbert-Huang transform with adaptive waveform matching extension and its application in power quality disturbance detection for microgrid
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Hilbert-Huang transform with adaptive waveform matching extension and its application in power quality disturbance detection for microgrid

机译:自适应波形匹配扩展的希尔伯特-黄变换及其在微网电能质量扰动检测中的应用

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With the significant improvement of microgrid technology, microgrid has gained large-scale application. However, the existence of intermittent distributed generations, nonlinear loads and various electrical and electronic devices causes power quality problemin microgrid, especially in islanding mode. An accurate and fast disturbance detection method which is the premise of power quality control is necessary. Aiming at the end effect and the mode mixing of original Hilbert-Huang transform (HHT), an improved HHT with adaptive waveform matching extension is proposed in this paper. The innovative waveform matching extension method considers not only the depth ofwaveform, but also the rise time and fall time. Both simulations and field experiments have verified the correctness and validity of the improved HHT for power quality disturbance detection in microgrid.
机译:随着微电网技术的重大进步,微电网已经得到了大规模的应用。然而,间歇性分布式发电,非线性负载以及各种电气和电子设备的存在导致微电网的电能质量问题,特别是在孤岛模式下。需要一种准确,快速的干扰检测方法,这是电能质量控制的前提。针对原始希尔伯特-黄变换(HHT)的端效应和模式混合,提出了一种具有自适应波形匹配扩展的改进型HHT。创新的波形匹配扩展方法不仅考虑了波形深度,还考虑了上升时间和下降时间。仿真和现场实验都验证了改进的HHT在微电网电能质量扰动检测中的正确性和有效性。

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