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Title: Intelligent tool for determining the true harmonic current contribution of a customer in a power distribution network
Author (s): Mazumdar, J.
Harley, R.
Lambert, F.
Venayagamoorthy, Ganesh K.
Page, M.L.
Department/Lab Affiliations: Electrical and Computer Engineering
Real-Time Power and Intelligent Systems Laboratory
Keywords: harmonic analysis
neural networks
power quality
power system harmonics
total harmonic distortion
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Citation: Mazumdar, J.; Harley, R.; Lambert, F.; Venayagamoorthy, G.K.; Page, M.L. "Intelligent Tool for Determining the True Harmonic Current Contribution of a Customer in a Power Distribution Network" 41st IAS Annual Meeting. Conference Record of the 2006 IEEE Industry Applications Conference, 2006. Vol.2, Oct. 2006 Pages:664-671
Abstract: Customer loads connected to electricity supply systems may be broadly categorized as either linear or nonlinear. Nonlinear loads inject harmonics into the power network. Harmonics in a power system are classified as either load harmonics or as supply harmonics depending on their origin. The source impedance also impacts the harmonic current flowing in the network. Hence any change in the source impedance is reflected in the harmonic spectrum of the current. This paper proposes a novel method based on Artificial Neural Networks to isolate and evaluate the impact of the source impedance change without disrupting the operation of any load, by using actual field data. The test site chosen for this study has a significant amount of triplen harmonics in the current. By processing the acquired data with the proposed algorithm, the actual load harmonic contribution of the customer is predicted. Experimental results confirm that attempting to predict the total harmonic distortion (THD) of a customer by simply measuring the customer's current may not be accurate. The main advantage of this method is that only waveforms of voltages and currents at the point of common coupling have to be measured. This method is applicable for both single and three phase loads.
Type: Article - Conference proceedings
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titleIntelligent tool for determining the true harmonic current contribution of a customer in a power distribution network
contributor.authorMazumdar, J.
contributor.authorHarley, R.
contributor.authorLambert, F.
contributor.authorVenayagamoorthy, Ganesh K.
contributor.authorPage, M.L.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabReal-Time Power and Intelligent Systems Laboratory
subjectharmonic analysis
subjectneural networks
subjectpower quality
subjectpower system harmonics
subjecttotal harmonic distortion
date.issued2006
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationMazumdar, J.; Harley, R.; Lambert, F.; Venayagamoorthy, G.K.; Page, M.L. "Intelligent Tool for Determining the True Harmonic Current Contribution of a Customer in a Power Distribution Network" 41st IAS Annual Meeting. Conference Record of the 2006 IEEE Industry Applications Conference, 2006. Vol.2, Oct. 2006 Pages:664-671
identifier.issn0197-2618
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/4025170/4025258/04025283.pdf?arnumber=402528
description.abstractCustomer loads connected to electricity supply systems may be broadly categorized as either linear or nonlinear. Nonlinear loads inject harmonics into the power network. Harmonics in a power system are classified as either load harmonics or as supply harmonics depending on their origin. The source impedance also impacts the harmonic current flowing in the network. Hence any change in the source impedance is reflected in the harmonic spectrum of the current. This paper proposes a novel method based on Artificial Neural Networks to isolate and evaluate the impact of the source impedance change without disrupting the operation of any load, by using actual field data. The test site chosen for this study has a significant amount of triplen harmonics in the current. By processing the acquired data with the proposed algorithm, the actual load harmonic contribution of the customer is predicted. Experimental results confirm that attempting to predict the total harmonic distortion (THD) of a customer by simply measuring the customer's current may not be accurate. The main advantage of this method is that only waveforms of voltages and currents at the point of common coupling have to be measured. This method is applicable for both single and three phase loads.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:28:42Z
date.available2007-04-05T14:28:41Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/04025283_09007dcc8030dc0a.html
Full Text
04025283_09007dcc8030dc0f.pdf