Type of Document	Thesis
Author	Therrien, Daniel Wayne
URN	etd-06232009-224039
Title	Signal Processor For A Power System Non-Intrusive Load Monitoring System
Degree	Master of Science
Department	Electrical and Computer Engineering, Department of
Advisory Committee	Advisor Name Title Thomas L. Baldwin Committee Chair Anke D. Meyer-Baese Committee Member Bruce A. Harvey Committee Member
Keywords	Wavelets Transients Non-Intrusive Load Monitoring
Date of Defense	2006-02-24
Availability	unrestricted
Abstract The research in this paper looks to advance a non-intrusive load monitoring system into a large-scale power system application. The basic concept of residential non-intrusive monitoring is looked at for implementation in monitoring transmission lines for specific three-phase loads. More specifically, signal processing techniques are examined for use in identifying transients within the aggregate current within a transmission line. This paper looks to implement the Parks transform for combining information from the three phases into one signal for processing. Then a wavelet analysis is to be performed for transient feature extraction. A correlation is used for comparison and the load identification process. These techniques were then tested on the IEEE 14 bus system to successfully identify a three-phase induction motor located in the system.
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