A Verification Of Periodogram Technique For Harmonic Source Diagnostic Analytic By Using Logistic Regression

Jopri, Mohd Hatta and Manap, Mustafa and Yusoff, Mohd Rahimi and Azahar, Arman Hadi and Abdullah, Abdul Rahim and Karim R., Karim R. (2019) A Verification Of Periodogram Technique For Harmonic Source Diagnostic Analytic By Using Logistic Regression. Telkomnika (Telecommunication Computing Electronics and Control), 17 (1). pp. 497-507. ISSN 1693-6930

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Abstract

A harmonic source diagnostic analytic is vital to identify the root causes and type of harmonic source in power system. This paper introduces a verification of periodogram technique to diagnose harmonic sources by using logistic regression classifier. A periodogram gives a correct and accurate classification of harmonic signals. Signature recognition pattern is used to distinguish the harmonic sources accurately by obtaining the distribution of harmonic and interharmonic components and the harmonic contribution changes. This is achieved by using the significant signature recognition of harmonic producing load obtained from the harmonic contribution changes. To verify the performance of the propose method, a logistic regression classifier will analyse the result and give the accuracy and positive rate percentage of the propose method. The adequacy of the proposed methodology is tested and verified on distribution system for several rectifier and inverter-based loads.

Item Type:	Article
Uncontrolled Keywords:	Harmonic source diagnostic analytic, Logistic regression, Periodogram, Signature recognition pattern
Divisions:	Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Sabariah Ismail
Date Deposited:	29 Jul 2020 14:39
Last Modified:	29 Jul 2020 14:39
URI:	http://eprints.utem.edu.my/id/eprint/24176
Statistic Details:	View Download Statistic

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