UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY

Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality distur...

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Autores principales:	Ala eddine Rahmani, Linda Slimani, Tarek Bouktir
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2019
Materias:	unbalanced load flow wavelet transform (wt) support vector machines (svm) power quality disturbance wavelet energy Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/bb576f19b00843ce98ec5e89e242a71a
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spelling	oai:doaj.org-article:bb576f19b00843ce98ec5e89e242a71a2021-12-02T18:15:13ZUNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY10.20998/2074-272X.2019.6.092074-272X2309-3404https://doaj.org/article/bb576f19b00843ce98ec5e89e242a71a2019-12-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2019.6.09/188004https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality disturbances such as harmonic distortion, voltage sag, and voltage swell include wind farms generator in power transmission systems. Firstly three phases unbalanced load flow analysis is executed to calculate difference electric network characteristics, levels of voltage, active and reactive power. After, discrete wavelet transform is combined with the probabilistic ECOC-SVM model to construct the classifier. Finally, the ECOC-SVM classifies and identifies the disturbance type according to the energy deviation of the discrete wavelet transform. The proposed method gives satisfactory accuracy with 99.2% compared with well known methods and shows that each power quality disturbances has specific deviations from the pure sinusoidal waveform, this is good at recognizing and specifies the type of disturbance generated from the wind power generator. Ala eddine Rahmani Linda SlimaniTarek BouktirNational Technical University "Kharkiv Polytechnic Institute"articleunbalanced load flowwavelet transform (wt)support vector machines (svm)power quality disturbancewavelet energyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 6, Pp 62-69 (2019)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	unbalanced load flow wavelet transform (wt) support vector machines (svm) power quality disturbance wavelet energy Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	unbalanced load flow wavelet transform (wt) support vector machines (svm) power quality disturbance wavelet energy Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ala eddine Rahmani Linda Slimani Tarek Bouktir UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
description	Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality disturbances such as harmonic distortion, voltage sag, and voltage swell include wind farms generator in power transmission systems. Firstly three phases unbalanced load flow analysis is executed to calculate difference electric network characteristics, levels of voltage, active and reactive power. After, discrete wavelet transform is combined with the probabilistic ECOC-SVM model to construct the classifier. Finally, the ECOC-SVM classifies and identifies the disturbance type according to the energy deviation of the discrete wavelet transform. The proposed method gives satisfactory accuracy with 99.2% compared with well known methods and shows that each power quality disturbances has specific deviations from the pure sinusoidal waveform, this is good at recognizing and specifies the type of disturbance generated from the wind power generator.
format	article
author	Ala eddine Rahmani Linda Slimani Tarek Bouktir
author_facet	Ala eddine Rahmani Linda Slimani Tarek Bouktir
author_sort	Ala eddine Rahmani
title	UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
title_short	UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
title_full	UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
title_fullStr	UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
title_full_unstemmed	UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY
title_sort	unbalanced load flow with hybrid wavelet transform and support vector machine based error-correcting output codes for power quality disturbances classification including wind energy
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2019
url	https://doaj.org/article/bb576f19b00843ce98ec5e89e242a71a
work_keys_str_mv	AT alaeddinerahmani unbalancedloadflowwithhybridwavelettransformandsupportvectormachinebasederrorcorrectingoutputcodesforpowerqualitydisturbancesclassificationincludingwindenergy AT lindaslimani unbalancedloadflowwithhybridwavelettransformandsupportvectormachinebasederrorcorrectingoutputcodesforpowerqualitydisturbancesclassificationincludingwindenergy AT tarekbouktir unbalancedloadflowwithhybridwavelettransformandsupportvectormachinebasederrorcorrectingoutputcodesforpowerqualitydisturbancesclassificationincludingwindenergy
_version_	1718378416899620864

UNBALANCED LOAD FLOW WITH HYBRID WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE BASED ERROR-CORRECTING OUTPUT CODES FOR POWER QUALITY DISTURBANCES CLASSIFICATION INCLUDING WIND ENERGY

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