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Permanent link (DOI): https://doi.org/10.7939/R3D21RZ3R

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Event-Based Non-Intrusive Home Current Measurement using Sensor Array Open Access

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Other title
Subject/Keyword
Non-Intrusive Current Measurement
Magnetic Field Sensor
Nonlinear Least Square
Sensor Array
Event Detection and Clustering
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wang, Juncheng
Supervisor and department
Wilsun, Xu (Electrical and Computer Engineering)
Hao, Liang (Electrical and Computer Engineering)
Examining committee member and department
Pedram, Mousavi (Mechanical Engineering)
Hao, Liang (Electrical and Computer Engineering)
Wilsun, Xu (Electrical and Computer Engineering)
Yindi, Jing (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Energy Systems
Date accepted
2017-05-08T15:48:06Z
Graduation date
2017-11:Fall 2017
Degree
Master of Science
Degree level
Master's
Abstract
Home current measurement provides basic but vital information for advanced home energy monitoring and management, which is a critical enabling technology for smart homes. Accurate and easy-to-implement home current measurement can enable various smart home applications such as non-intrusive load monitoring (NILM), home energy management and demand response management. Current sensing technologies featured by low-cost wide-range current sensors are applied to various industrial applications. Yet, there are still open issues which require extensive research in non-intrusive current measurement using sensor array. This thesis presents a novel method for non-intrusive home current measurement using an array of magnetic field sensors. It is specifically designed for measuring the real-time currents on three wires, including two hot wires and one neutral wire, enclosed in the electric conduits of North American homes. The key idea is to extract information from appliance state changing events captured by sensor measurement changes. Since each detected event only corresponds to two wires between which the state-changing appliance is connected, the events can be clustered according to the wire connections. Wire position identification is formulated as a nonlinear least square (NLLS) problem and is efficiently solved. Then, real-time current measurement is achieved by using the trans-impedance matrix built based on the solved wire positions and the sensor parameters obtained from the manufacturing process. The proposed method is evaluated by extensive laboratory and field tests.
Language
English
DOI
doi:10.7939/R3D21RZ3R
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication
J. Wang, G. Geng, K.-L. Chen, H. Liang and W. Xu, “Event-based Non-intrusive Home Current Measurement using Sensor Array,” IEEE Trans. Smart Grid., accepted for publication at Apr. 2017.G. Geng, J. Wang, K.-L. Chen and W. Xu, “Contactless Current Measurement for Enclosed Multi-conductor Systems based on Sensor Array,” IEEE Trans. Instrum. Meas., accepted for publication at Apr. 2017.

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