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The Detection and Location of Power Quality Disturbances Based on Orthogonal Wavelet Packet Transform

机译:基于正交小波包变换的电能质量扰动的检测与位置

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摘要

A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time-varying signal.
机译:提出了一种新的电力质量检测方法和使用正交小波分组变换的位置。首先讨论了正交小波分组变换和小波基功能选择的理论;模拟电力频率上具有白色高斯噪声的第二电能质量扰动;然后,给出了基于通用阈值和斯坦坦非偏见风险阈值的软阈值方法,以解决实际信号检测中的去噪问题;最后使用正交小波包变换检测和局部电能质量干扰。结果表明,该方法提出了更好的检测性能;它具有更准确的检测和出现时间和瞬态持续时间的位置。该方法适用于检测瞬态和处理其他非时变信号。

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