The detection and location of power quality disturbances based on orthogonal wavelet packet transform

Liyan Liu, Zhezhao Zeng
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引用次数: 13

Abstract

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.
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基于正交小波包变换的电能质量扰动检测与定位
提出了一种基于正交小波包变换的电能质量检测与定位新方法。首先讨论了正交小波包变换理论和小波基函数选择理论;二次仿真了工频高斯白噪声下的电能质量扰动;然后,提出了一种基于通用阈值和Stein无偏风险阈值概念的软阈值方法,用于解决实际信号检测中的去噪问题;最后利用正交小波包变换对电能质量扰动进行检测和定位。结果表明,该方法具有较好的检测性能;对瞬变的发生时间和持续时间有更准确的检测和定位。该方法适用于瞬态信号的检测和其他非时变信号的处理。
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