Voltage Sag Source Feature Identification With S Transform and Multidimensional Fractal

被引：0
作者：
Yang X. [1 ]
Zhang T. [1 ]
Pan A. [2 ]
Zhang M. [1 ]
机构：
[1] College of Electric Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai
[2] State Grid Shanghai Electric Power Research Institute, Yangpu District, Shanghai
来源：
Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Classification and recognition; Multidimensional fractal; S transform; Support vector machine; Voltage sag;
D O I：
10.13335/j.1000-3673.pst.2019.2002
中图分类号：
学科分类号：
摘要：
The classification and identification of the voltage sag source is a reasonable basis for formulating the voltage sag treatment and clarifying the possible accident liability. The characteristics of single sag signal and composite sag signal caused by system short-circuit fault, large induction motor start-up and large-capacity transformer commissioning are analyzed. The S-transform is used to analyze the change of the fundamental frequency amplitude of the sag signal. The modular matrix extracts six characteristic indicators, and a multi-fractal spectral parameter generalized Hurst index is proposed to improve the accuracy of classification and recognition in a noisy environment. Combining S transform and multi-dimensional fractal together constitutes the characteristic index of voltage sag signal. The extracted feature indexes are put into the support vector machine, and different types of voltage sag are trained, and the noiseless data and the simulated noise-added data are respectively tested to realize the classification and recognition of different sag sources. The experimental results show that compared with the traditional S-transformed voltage sag source identification method, the characteristic index constructed by the combination of S-transformation and multi-fractal method can better identify the voltage sag source and effectively improve the classification effect of noise-containing signals and it can be applied to actual engineering. © 2021, Power System Technology Press. All right reserved.
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页码：672 / 679
页数：7
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