Title :
The Study of Generalized S-Transform in Power Quality Disturbances Analysis
Author :
Wang Jing ; Shen Yueyue ; Xu Aiqin ; Weng Guoqing
Author_Institution :
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou
Abstract :
A new method based on generalized S-transform (GST) is presented for detecting and identifying power quality disturbances (PQDs). The GST formula of discrete time series is deduced firstly, and then nine kinds of typical PQDs are formed for GST analysis. As a result of GST analysis, three voltage-based characteristics, one frequency-based characteristic as well as one phase-based characteristic are extracted. According to the comparison of identification validity between GST and S-transform( ST) made in this paper, GST shows its advantage that it can detect not only voltage instantaneous varies, but also PQDs phase variation. Furthermore, the approach is proved to be quite viable for inter-harmonics detection.
Keywords :
discrete transforms; power supply quality; time series; discrete time series; frequency-based characteristics; generalized S-transform; interharmonics detection; phase-based characteristics; power quality disturbances analysis; voltage-based characteristics; Educational institutions; Fourier transforms; Information analysis; Phase detection; Power quality; Signal analysis; Time frequency analysis; Time series analysis; Voltage; Wavelet transforms;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918918