• DocumentCode
    71731
  • Title

    System for Calibration of Nonintrusive Load Meters With Load Identification Ability

  • Author

    Sira, Martin ; Zachovalova, Vera Novakova

  • Author_Institution
    Czech Metrol. Inst., Brno, Czech Republic
  • Volume
    64
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    1350
  • Lastpage
    1354
  • Abstract
    Nonintrusive load meters (NILMs) with a load identification ability have been developed in several institutes and companies. All load identification algorithms (LIAs) have a common characteristic: load identification is based on the current waveform. A system for calibration and testing of meters with load identification ability is presented in this paper. The system was based on generating arbitrary current waveforms of previously sampled home appliances. A tested NILM should measure the waveform and identify the simulated appliance. The load identification probability was measured for a selected LIA. An NILM was simulated by a common power quality meter and load identification was performed afterward in a computer. Simulations and sensitivity analysis were also performed to determine minimal properties of an NILM with selected LIA. The results showed that the system is able to measure load identification probability of an NILM and even detect various problems of the LIA.
  • Keywords
    calibration; load forecasting; power meters; power supply quality; LIA; NILM; arbitrary current waveform generation; common power quality meter testing; load identification algorithm; load identification probability measurement; nonintrusive load meter calibration; Calibration; Current measurement; Home appliances; Monitoring; Noise; Sensitivity; Signal resolution; Calibration; electricity; energy consumption; smart grids; smart homes; smart homes.;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2015.2399021
  • Filename
    7045514