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Data-based Harmonic Source Identification Open Access


Other title
Data-based Identification
Power Quality
Least Square
Correlation analysis
Partial Least Square (PLS)
Harmonic Source Identification
Type of item
Degree grantor
University of Alberta
Author or creator
Erfanian Mazin, Hooman
Supervisor and department
Wilsun Xu, Electrical and Computer Engineering
Examining committee member and department
Yasser Mohamed, Electrical and Computer Engineering
Ivan Fair, Electrical and Computer Engineering
Ramakrishna Gokaraju, Electrical and Computer Engineering, University of Saskatchewan
Stevan Dubljevic, Chemical and Materials Engineering, University of Alberta
Wilsun Xu, Electrical and Computer Engineering
Biao Huang, Chemical and Materials Engineering, University of Alberta
Department of Electrical and Computer Engineering
Power Engineering and Power Electronics
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Harmonic distortion is one of the main power quality problems for power system utilities. Nowadays, there are many harmonic-generating loads in a given distribution or sub-transmission system. Developing methods and techniques to quantify the harmonic contributions of the customers and the utility system, especially when a harmonic problem occurs in a system, is highly important for power quality management. After identifying the major harmonic-producing customers, utility companies can negotiate with them to reduce their generated harmonic contents by either installing filters or using other harmonic mitigation approaches. However, the first step is to identify the major harmonic-producing loads and quantify their impact. In the past, this problem was approached from a single-point perspective. The single-point problem is a classic harmonic determination problem. However, the previous methods are circuit-based and classified as invasive methods. The thesis proposes a new non-invasive data-based method. The harmonic impact of a load is calculated by just measuring its voltage and current at the Point of Common Coupling (PCC). The challenge here is data selection. Not all the measured voltage and current sets are suitable for the analysis. The method is verified and characterized by extensive simulation studies. By using field measurement data, the effectiveness of the method is verified. While the single-point approach is still very important and worthwhile, another type of harmonic-source-detection problem has emerged, primarily because an increasing number of loads now contain some harmonic sources. In this multi-point problem, the goal is to quantify harmonic impacts of the potential suspicious loads in the network on a reported harmonic problem. It must be determined if these loads are causing the problem and, if so, which load is producing the most significant impact. The multi-point problem has never been studied by other researchers. This thesis proposes two new data-based methods for the multi-point problem. For these methods, the harmonic currents of the suspicious customers and the harmonic voltage at the point of the reported problem should be monitored. By using statistical inference, the harmonic impacts of the loads are estimated directly from the measurement. The idea is to correlate the gradual change of a load to the gradual change of the problem. One of the main challenges of this correlation analysis is the data selection. The thesis proposes and studies different data selection algorithms. The methods are verified and characterized through extensive simulation and field measurement studies.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
W. Xu, R. Bahry, H.E. Mazin, and T. Tayjasanant, “A method to determine the harmonic contributions of multiple loads,” Power & Energy Society General Meeting 2009, pp.1-6, July 2009H.E. Mazin, W. Xu; B. Huang; , "Determining the Harmonic Impacts of Multiple Harmonic-Producing Loads," Power Delivery, IEEE Transactions on , vol.26, no.2, pp.1187-1195, April 2011

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