基于小波熵的电容器扰动识别和定位

对投电容器扰动识别和定位的方法进行了改进。针对其他此类方法的不足，比如在电压幅值低时投电容器扰动的识别、定位“可信度不高”等，文中通过提取小波变换的特定层的系数，对需要识别的电容器扰动的分解信号相对增强，而其他扰动的分解信号相对减弱，然后再提取熵特征值，结果表明它可以作为识别低电压时投电容器扰动的依据。在对电容器扰动进行定位时，参考了功率和能量定位法，并对其进行了改进。仿真分析证明，在电压幅值较低时，可以准确和可靠地对电容器扰动进行识别和定位。

Recognition and Locating of Wavelet Entropy Based Capacitor Switching Disturbances

An improved method to identify and locate the capacitor switching disturbances is presented. Other methods have drawbacks of lack of confidence when capacitors switch on at low voltage. The wavelet transform coefficient of the special layer is then adopted to enlarge useful signals and mitigate disturbing ones. The entropy eigenvalue extracted from coefficients can efficiently identify the capacitor switching disturbances at low voltage. An improved power and energy based method is introduced to locate capacitor switching disturbances. Simulations indicate that the method proposed can distinguish and locate the capacitor switching disturbances at low voltage with reliable results.