Determination of power quality disturbances in power systems using skewness and kurtosis coefficients

Ç. Kocaman, M. Ozdemir
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Abstract

In this paper; the signals consisting of power quality disturbances is determined by using statistical methods. Five kind of power quality disturbances such as voltage swells, voltage sags, voltage with harmonics, transients and flicker which last duration of 18 periods are constituted by using MATLAB. Sampling frequency is 12.8 kHz. Skewness and kurtosis coefficients of constituted signals are calculated in local frames. Changes of skewness and kurtosis coefficients' amplitudes determine the moment of occurrences of constituted disturbances. It is observed that only skewness or only kurtosis coefficients are not adequate for distinguishing voltage swells, voltage sags, voltage with harmonics, transients and flicker. It is concluded that in order to distinguish constituted these disturbances both of these coefficients must be taken into consideration at the same time.
用偏度和峰度系数测定电力系统中的电能质量扰动
在本文中;用统计方法确定了由电能质量扰动组成的信号。利用MATLAB构建了持续18个周期的电压膨胀、电压跌落、带谐波电压、瞬变和闪变等5种电能质量扰动。采样频率为12.8 kHz。在局部帧中计算构成的信号的偏度系数和峰度系数。偏度和峰度系数振幅的变化决定了构成扰动发生的时刻。观察到,仅偏度系数或峰度系数不足以区分电压起伏、电压凹陷、带谐波电压、瞬态电压和闪烁。结论是,为了区分构成这些扰动,必须同时考虑这两个系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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