DocumentCode
2552019
Title
Classification for voltage sags based on generalized S-transform
Author
Xu, Fangwei ; Zhang, Yin ; Yang, Honggeng ; Xiao, Xianyong
Author_Institution
Sch. of Electr. & Inf., Sichuan Univ., Chengdu, China
fYear
2012
fDate
29-31 May 2012
Firstpage
1760
Lastpage
1763
Abstract
The classification and recognition of voltage sags are the important part of power quality management program. This paper proposes a new classification method of voltage sags based on generalized S-transform. It firstly determines the adjustment factor λ of the Gaussian window according to the main frequency of voltage sags, and the modulus matrixes are regarded as the standard templates; through comparing the similarities between generalized S-transform modulus matrixes of test signals and the standard templates, the classification process can be finished. In the process of similarity comparison, the concept of normalization and the idea of calculating similarities at different frequencies are proposed to enlarge the differences among different templates. This proposed method realizes the disturbance classification with simple calculation of the similarities among different sags; no extra classification processes are needed. Simulation and the analysis of field data show that the proposed method is easy to achieve the purpose of classification and has high accuracy and noise robustness.
Keywords
Gaussian processes; matrix algebra; pattern matching; power supply quality; power system analysis computing; power system management; signal classification; transforms; Gaussian window; adjustment factor; disturbance classification; generalized S-transform; modulus matrix; noise robustness; normalization; power quality management program; similarity comparison; template matching; voltage sag classification; voltage sag recognition; Circuit faults; Harmonic analysis; Power quality; Signal resolution; Standards; Time frequency analysis; Voltage fluctuations; Classification; Generalized S-Transform; Similarity; Voltage sags;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234286
Filename
6234286
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