Title :
Voltage sags detection based on fundamental frequency vector of generalized S-transform modulus matrixes
Author :
Xu, Fangwei ; Wang, Yang ; Yang, Honggeng
Author_Institution :
Sch. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
Abstract :
This paper proposes a detection method with respect to voltage sags based on the modulus matrix of generalized S-transform. According to the main frequency constituents of the signals, the speed variation rate of Gauss window is determined firstly and then the modulus matrixes of the S-transform is calculated. Based on the S-transform modulus matrixes, the fundamental frequency amplitude vector is extracted, from which the voltage sag amplitude can be acquired. As for sag duration, fundamental frequency difference vector is introduced to detect the sag starting and ending time. Matlab simulation analysis shows that this method is accurate and effective to detect the characteristics of voltage sag and has noise robustness.
Keywords :
matrix algebra; power supply quality; transforms; Gauss window; Matlab simulation analysis; frequency constituents; fundamental frequency amplitude vector; fundamental frequency difference vector; fundamental frequency vector; generalized S-transform modulus matrixes; noise robustness; sag duration; sag ending time; sag starting time; speed variation rate; voltage sag amplitude; voltage sags detection; Induction motors; Power quality; Signal resolution; Time frequency analysis; Transforms; Vectors; Voltage fluctuations; Detection; Fundamental frequency amplitude vector; Generalized S-Transform; Voltage sags;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234288