NDLI: Identification of Voltage Sags in Distribution System Using Wavelet Transform and SVM

Content Provider	IEEE Xplore Digital Library
Author	Wei Chen Xiaohong Hao Jie Lin
Copyright Year	2007
Description	Author affiliation: Lanzhou Univ. of Technol., Lanzhou (Wei Chen; Xiaohong Hao; Jie Lin)
Abstract	Voltage sags have become an important power quality issue in power system over the past several years. Voltage sags are short duration reductions in RMS voltage, mainly caused by short circuits, transformer energizing, and starting on large motors. Aim of this paper is to show that there are certain types of voltage sags that should be considered in the analysis of monitoring data as showed the analysis of a large number of recordings. In the paper voltage sags were analyzed based on a PSB simulation model. Then presents a method to identify the voltage sag in distribution system using a novel combination of wavelet transform and support vector machines. The simulated waves were discomposed into 7 levers using wavelet transform, afterwards, the energy features, which was extracted from the wavelet coefficients under different levers, were employed as the inputs of the support vector machines to identify and classify the voltage sags. The results of simulation and case study show the proposed method is simple and validity.
Starting Page	1605
Ending Page	1609
File Size	2262870
Page Count	5
File Format	PDF
ISBN	9781424408177
DOI	10.1109/ICCA.2007.4376631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power quality Wavelet transforms Support vector machines Voltage fluctuations Support vector machine classification Power system analysis computing Circuits Data analysis Monitoring Analytical models support vector machines power quality voltage sags wavelet transform
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

Identification of sources of voltage sags in the Malaysian distribution networks using SVM based S-transform

Classification of power quality disturbances using wavelet and fuzzy support vector machines

Intelligent Identification System of Power Quality Disturbance

Knowledge Discovery in Power Quality Data Using Support Vector Machine and S-Transform

Classification of two common power quality disturbances using wavelet based SVM

Comparative analysis of input parameters using wavelet transform for voltage sag disturbance classification

Detection and classification of power-quality events using discrete Gabor transform and Support Vector Machine

Online power quality disturbances identification using incremental wavelet decomposition and support vector machine

Power quality disturbances classification Based on multi-class classification SVM

Identification of Voltage Sags in Distribution System Using Wavelet Transform and SVM

Similar Documents

Identification of sources of voltage sags in the Malaysian distribution networks using SVM based S-transform

Classification of power quality disturbances using wavelet and fuzzy support vector machines

Intelligent Identification System of Power Quality Disturbance

Knowledge Discovery in Power Quality Data Using Support Vector Machine and S-Transform

Classification of two common power quality disturbances using wavelet based SVM

Comparative analysis of input parameters using wavelet transform for voltage sag disturbance classification

Detection and classification of power-quality events using discrete Gabor transform and Support Vector Machine

Online power quality disturbances identification using incremental wavelet decomposition and support vector machine

Power quality disturbances classification Based on multi-class classification SVM

Identification of Voltage Sags in Distribution System Using Wavelet Transform and SVM