NDLI: Software Tool for Real Time Power Quality Disturbance Analysis and Classification

Content Provider	IEEE Xplore Digital Library
Author	Salem, M.E. Mohamed, A. Samad, S.A. Yahya, I.
Copyright Year	2007
Description	Author affiliation: Univ. Kebangsaan Malaysia, Bangi (Salem, M.E.; Mohamed, A.; Samad, S.A.; Yahya, I.)
Abstract	Real time detection and classification of power quality disturbances is important for quick diagnosis and mitigation of such disturbances. This paper presents the development of a software tool based on MatLab for power quality disturbance analysis and classification. Prior to the development of the software tool, the disturbance signals are captured and processed in real-time using the TMS320C6711DSP starter kit. Digital signal processor is used to provide fast data capture, fast data processing and signal processing flexibility with increased system performance and reduced system cost. The developed software tool can be used for real-time and off-line disturbance analysis by displaying the detected disturbance, % harmonics of a signal, total harmonic distortion and results of the S-transform, fast Fourier transform and continuous wavelet transform analyses. In addition, graphical representation of the input signal, power quality indices including sag and swell magnitudes are also displayed on the graphical user interface. PQ disturbance classification results show that accurate disturbance classification can be obtained with a total % of correct classification of 99.3%. Such a software tool can serve as a simple and reliable means for PQ disturbance detection and classification.
Starting Page	1
Ending Page	5
File Size	506106
Page Count	5
File Format	PDF
ISBN	9781424414697
DOI	10.1109/SCORED.2007.4451390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-12
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital signal processors Harmonic analysis Data processing MatLab GUI Continuous wavelet transforms Fast Fourier transforms real-time Power quality Digital signal processing Signal processing power disturbances analysis and classification Digital signal processor Software tools Signal analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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