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Real-Time Power Quality Disturbances Detection and Classification System

Power quality disturbances present noteworthy ramifications on electricity consumers, which can affect manufacturing process, causing malfunction of equipment and inducing economic losses. Thus, an automated system is required to identify and classify the signals for diagnosis purposes. The devel...

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Main Authors: abidullah, Noor Athira, Abdullah, Abdul Rahim, Sha'ameri, Ahmad Zuri, Shamsudin, Nur Hazahsha, ahmad, Nur Hafizatul Tul Huda, JOPRI, MOHD HATTA
Format: Article
Language:English
Published: International Digital Organization for Scientific Information 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/14370/2/2014_Journal_WASJ_Real-Time_Power_Quality_Disturbances_Detection_and_Classification.pdf
http://eprints.utem.edu.my/id/eprint/14370/
http://idosi.org/wasj/wasj32(8)14/23.pdf
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spelling my.utem.eprints.143702015-05-28T04:37:56Z http://eprints.utem.edu.my/id/eprint/14370/ Real-Time Power Quality Disturbances Detection and Classification System abidullah, Noor Athira Abdullah, Abdul Rahim Sha'ameri, Ahmad Zuri Shamsudin, Nur Hazahsha ahmad, Nur Hafizatul Tul Huda JOPRI, MOHD HATTA TK Electrical engineering. Electronics Nuclear engineering Power quality disturbances present noteworthy ramifications on electricity consumers, which can affect manufacturing process, causing malfunction of equipment and inducing economic losses. Thus, an automated system is required to identify and classify the signals for diagnosis purposes. The development of power quality disturbances detection and classification system using linear time-frequency distribution (TFD) technique which is spectrogram is presented in this paper. The TFD is used to represent the signals in time-frequency representation (TFR), hence it is handy for analyzing power quality disturbances. The signal parameters such as instantaneous of RMS voltage, RMS fundamental voltage, total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD) are estimated from the TFR to identify the characteristic of the signals. The signal characteristics are then served as the input for signal classifier to classify power quality disturbances. Referring to IEEE Std. 1159-2009, the power quality disturbances such as swell, sag, interruption, harmonic and interharmonic are discussed. Standard power line measurements, like voltage and current in RMS, active power, reactive power, apparent power, power factor and frequency are also calculated. To verify the performance of the system, power quality disturbances with various characteristics will be generated and tested. The system has been classified with 100 data at SNR from 0dB to 40dB and the outcomes imply that the system gives 100 percent accuracy of power quality disturbances classification at 34dB of SNR. Since the low absolute percentage error present, the system achieves highly accurate system and suitable for power quality detection and classification purpose. International Digital Organization for Scientific Information 2014-12-08 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14370/2/2014_Journal_WASJ_Real-Time_Power_Quality_Disturbances_Detection_and_Classification.pdf abidullah, Noor Athira and Abdullah, Abdul Rahim and Sha'ameri, Ahmad Zuri and Shamsudin, Nur Hazahsha and ahmad, Nur Hafizatul Tul Huda and JOPRI, MOHD HATTA (2014) Real-Time Power Quality Disturbances Detection and Classification System. World Applied Sciences Journal (WASJ), 32 (8). pp. 1637-1651. ISSN 18184952 http://idosi.org/wasj/wasj32(8)14/23.pdf DOI: 10.5829/idosi.wasj.2014.32.08.534
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
abidullah, Noor Athira
Abdullah, Abdul Rahim
Sha'ameri, Ahmad Zuri
Shamsudin, Nur Hazahsha
ahmad, Nur Hafizatul Tul Huda
JOPRI, MOHD HATTA
Real-Time Power Quality Disturbances Detection and Classification System
description Power quality disturbances present noteworthy ramifications on electricity consumers, which can affect manufacturing process, causing malfunction of equipment and inducing economic losses. Thus, an automated system is required to identify and classify the signals for diagnosis purposes. The development of power quality disturbances detection and classification system using linear time-frequency distribution (TFD) technique which is spectrogram is presented in this paper. The TFD is used to represent the signals in time-frequency representation (TFR), hence it is handy for analyzing power quality disturbances. The signal parameters such as instantaneous of RMS voltage, RMS fundamental voltage, total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD) are estimated from the TFR to identify the characteristic of the signals. The signal characteristics are then served as the input for signal classifier to classify power quality disturbances. Referring to IEEE Std. 1159-2009, the power quality disturbances such as swell, sag, interruption, harmonic and interharmonic are discussed. Standard power line measurements, like voltage and current in RMS, active power, reactive power, apparent power, power factor and frequency are also calculated. To verify the performance of the system, power quality disturbances with various characteristics will be generated and tested. The system has been classified with 100 data at SNR from 0dB to 40dB and the outcomes imply that the system gives 100 percent accuracy of power quality disturbances classification at 34dB of SNR. Since the low absolute percentage error present, the system achieves highly accurate system and suitable for power quality detection and classification purpose.
format Article
author abidullah, Noor Athira
Abdullah, Abdul Rahim
Sha'ameri, Ahmad Zuri
Shamsudin, Nur Hazahsha
ahmad, Nur Hafizatul Tul Huda
JOPRI, MOHD HATTA
author_facet abidullah, Noor Athira
Abdullah, Abdul Rahim
Sha'ameri, Ahmad Zuri
Shamsudin, Nur Hazahsha
ahmad, Nur Hafizatul Tul Huda
JOPRI, MOHD HATTA
author_sort abidullah, Noor Athira
title Real-Time Power Quality Disturbances Detection and Classification System
title_short Real-Time Power Quality Disturbances Detection and Classification System
title_full Real-Time Power Quality Disturbances Detection and Classification System
title_fullStr Real-Time Power Quality Disturbances Detection and Classification System
title_full_unstemmed Real-Time Power Quality Disturbances Detection and Classification System
title_sort real-time power quality disturbances detection and classification system
publisher International Digital Organization for Scientific Information
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14370/2/2014_Journal_WASJ_Real-Time_Power_Quality_Disturbances_Detection_and_Classification.pdf
http://eprints.utem.edu.my/id/eprint/14370/
http://idosi.org/wasj/wasj32(8)14/23.pdf
_version_ 1665905587762757632
score 13.211869

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