• DocumentCode
    627686
  • Title

    A test bed to monitor smart grid power quality

  • Author

    Al-Mutawaly, Nafia ; Alimardani, Mehdi

  • Author_Institution
    B.Tech Energy, McMaster Univ., Hamilton, ON, Canada
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Electric vehicles and renewable energy sources typically generate distorted current waveforms (harmonics). As consumer adoption of these technologies increases, it is expected that harmonics will accumulate resulting in poor power quality and degradation of smart grid performance. Such impacts would affect many sectors including utilities, auto manufacturers, and renewable energy producers. For research, training and teaching purposes, Mohawk College and McMaster University have collaborated to produce a comprehensive mobile test bed to study harmonics generated within a smart grid. The fully automated system includes multiple transformers, electric vehicle chargers, a grid tied inverter and data acquisition systems, which allow the user to monitor harmonic content and control power flow within the test bed.
  • Keywords
    electric vehicles; power supply quality; power system harmonics; power system measurement; renewable energy sources; smart power grids; McMaster University; Mohawk College; data acquisition systems; distorted current waveforms; electric vehicle chargers; electric vehicles; grid tied inverter; harmonics; monitor smart grid power quality; power flow; renewable energy producers; renewable energy sources; test bed; transformers; Batteries; Educational institutions; Harmonic analysis; Inverters; Monitoring; Power quality; Power system harmonics; EV Chargers; Electric Vehicles; Power Quality; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2013 IEEE
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    978-1-4799-0146-3
  • Type

    conf

  • DOI
    10.1109/ITEC.2013.6573508
  • Filename
    6573508