Title :
Classification of power quality disturbance signals based on S-transform and HHT
Author :
Tao Weiqing ; Yin Shaoge ; Ding Ming ; Li Chuanjian ; Yu Nanhua ; Bao Xiaofei ; Cao Hongguang ; Guo Jinnan
Author_Institution :
Hefei Univ. of Technol., Hefei, China
Abstract :
The correct classification of power quality disturbances is the premise and basis of governance and control of power quality problems. This article extracts the instantaneous amplitude of the signal before and after the disturbance by HHT, combining S-transform of the disturbance signals to extract high-frequency and low-frequency characteristics, as to achieve the classification of power quality disturbances. Experimental results show that the fusion of the two methods can accurately detect the categories and disturbance characteristics of power quality disturbance signals, the starting and ending time of disturbance signals.
Keywords :
power supply quality; signal classification; transforms; HHT; S-transform; disturbance characteristics; high-frequency characteristics; instantaneous amplitude; low-frequency characteristics; power quality disturbance signals; power quality problems; Feature extraction; Harmonic analysis; Power quality; Time-frequency analysis; Transforms; Voltage fluctuations; HHT; Power quality disturbance; S-transform; Signal detection;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an