NDLI: Automating Power Quality Disturbance Analysis Using the IPQDA Software Tool

Content Provider	IEEE Xplore Digital Library
Author	Hasniaty Mohamed, A. Hussain, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi (Hasniaty; Mohamed, A.; Hussain, A.)
Abstract	Automatic recognition of power quality (PQ) disturbances with regards to PQ monitoring is highly desired by both utilities and commercial customers. This paper presents the development of the intelligent power quality data analysis (IPQDA) software tool for the purpose of automatic disturbance classification. The main capabilities of the software include analysis of disturbance waveforms, classification of various types of PQ disturbances and notification of a disturbance. An important feature of the software is that it can automatically send email or short messaging notifications upon identification of a disturbance so as to alert a system operator of a disturbance. In the software development, the two main tasks performed are feature extraction and automatic disturbance classification. Initially, disturbance waveforms are analyzed using the signal processing techniques such as the linear predictive coding and the fast Fourier transform techniques. The feature extraction process of PQ disturbance waveforms is to project a PQ signal into a low-dimension time frequency representation which is deliberately design for maximizing the separability between classes. The unique features of the PQ disturbances are extracted and used in the intelligent analysis too. The second task is to automatically classify the PQ disturbances into different categories of disturbances based on the features extracted from the processed waveform signal. The classification task was performed by developing a rule based expert system in Visual Basic. To verify the accuracy of the developed software tool, it has been tested with 500 recorded voltage disturbance signals which are obtained from PQ monitoring at various sites. In this paper, the focus is to highlight on the accuracy of the software in automatically classifying the distinct categories of PQ disturbance types such as voltage sag, swell, notching and transient. In addition, a statistical analysis has also been performed to further validate the results obtained.
Starting Page	211
Ending Page	214
File Size	4492794
Page Count	4
File Format	PDF
ISBN	9781424405268
DOI	10.1109/SCORED.2006.4339340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-27
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	expert system Voltage fluctuations Data analysis Computerized monitoring Programming Linear predictive coding fast Fourier transform Power quality linear predictive code Signal processing Feature extraction Software tools Signal analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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