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Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method

This paper describes a Wavelet Transform and Rule-Based method for detection and classification of various events of power quality disturbances. In this model, wavelet Multi-Resolution Analysis (MRA) technique was used to decompose the signal into its various details and approximation signals, and u...

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Main Authors:	Chuah , Heng keow, Nallagownden, Perumal, Kondapalli, K.S. Rama Rao
Format:	Conference or Workshop Item
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utp.edu.my/4382/1/2010_Nov_29-Dec1_-_IEEE_PECon2010_-_PQ_-_Wavelet.pdf http://eprints.utp.edu.my/4382/
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spelling	my.utp.eprints.43822017-01-19T08:23:37Z Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method Chuah , Heng keow Nallagownden, Perumal Kondapalli, K.S. Rama Rao TK Electrical engineering. Electronics Nuclear engineering This paper describes a Wavelet Transform and Rule-Based method for detection and classification of various events of power quality disturbances. In this model, wavelet Multi-Resolution Analysis (MRA) technique was used to decompose the signal into its various details and approximation signals, and unique features from the 1st, 4th, 7th and 8th level detail are obtained as criteria for classifying the type of disturbance occurred. These features and together with the duration of disturbance of occurrence obtained from 1st level of detail, they form the criteria for a Rule-Based software algorithm for detecting different kinds of power quality disturbances effectively. It is presented in this paper that the choice of sampling frequency is important since it affects the average energy profile of the details and eventually may cause error in detection of power quality disturbances. The model is tested by using MATLAB toolbox. The simulation produces satisfactory result in identifying the disturbance and proof that it is possible to use this model for power disturbance classification. Since the method can reduce the number of parameters needed in classification, less memory space and computing time are required for its implementation. Thus it stands up to be a suitable model to be used in real time implementation through a dsPIC-based embedded system. 2010-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/4382/1/2010_Nov_29-Dec1_-_IEEE_PECon2010_-_PQ_-_Wavelet.pdf Chuah , Heng keow and Nallagownden, Perumal and Kondapalli, K.S. Rama Rao (2010) Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method. In: 2010 IEEE International Conference on Power and Energy (PECon2010, Nov 29-Dec1, 2010, Kuala Lumpur. http://eprints.utp.edu.my/4382/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Chuah , Heng keow Nallagownden, Perumal Kondapalli, K.S. Rama Rao Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
description	This paper describes a Wavelet Transform and Rule-Based method for detection and classification of various events of power quality disturbances. In this model, wavelet Multi-Resolution Analysis (MRA) technique was used to decompose the signal into its various details and approximation signals, and unique features from the 1st, 4th, 7th and 8th level detail are obtained as criteria for classifying the type of disturbance occurred. These features and together with the duration of disturbance of occurrence obtained from 1st level of detail, they form the criteria for a Rule-Based software algorithm for detecting different kinds of power quality disturbances effectively. It is presented in this paper that the choice of sampling frequency is important since it affects the average energy profile of the details and eventually may cause error in detection of power quality disturbances. The model is tested by using MATLAB toolbox. The simulation produces satisfactory result in identifying the disturbance and proof that it is possible to use this model for power disturbance classification. Since the method can reduce the number of parameters needed in classification, less memory space and computing time are required for its implementation. Thus it stands up to be a suitable model to be used in real time implementation through a dsPIC-based embedded system.
format	Conference or Workshop Item
author	Chuah , Heng keow Nallagownden, Perumal Kondapalli, K.S. Rama Rao
author_facet	Chuah , Heng keow Nallagownden, Perumal Kondapalli, K.S. Rama Rao
author_sort	Chuah , Heng keow
title	Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
title_short	Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
title_full	Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
title_fullStr	Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
title_full_unstemmed	Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method
title_sort	power quality problem classification based on wavelet transform and a rule-based method
publishDate	2010
url	http://eprints.utp.edu.my/4382/1/2010_Nov_29-Dec1_-_IEEE_PECon2010_-_PQ_-_Wavelet.pdf http://eprints.utp.edu.my/4382/
_version_	1738655335353155584
score	13.211869

Power Quality Problem Classification Based on Wavelet Transform and a Rule-Based method

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