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

  • Author / Creator
    Wang, Juncheng
  • 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.

  • Subjects / Keywords
  • Graduation date
    2017-11:Fall 2017
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3D21RZ3R
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Energy Systems
  • Supervisor / co-supervisor and their department(s)
    • Hao, Liang (Electrical and Computer Engineering)
    • Wilsun, Xu (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Pedram, Mousavi (Mechanical Engineering)
    • Yindi, Jing (Electrical and Computer Engineering)
    • Hao, Liang (Electrical and Computer Engineering)
    • Wilsun, Xu (Electrical and Computer Engineering)