• DocumentCode
    725383
  • Title

    Sensor Node to Improve Resiliency and Monitoring in Smart Grids: Taking the Lab to Field in Industry

  • Author

    Russell, Luke ; Goubran, Rafik ; Kwamena, Felix

  • Author_Institution
    Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2015
  • fDate
    10-12 June 2015
  • Firstpage
    208
  • Lastpage
    209
  • Abstract
    Sensors and data analytics have a tremendous potential to improve the resilience of the electricity system. Improving the analytics in a smart grid, and providing information to operators so that problems can be resolved quickly, may serve to improve the resiliency of the electricity system. Effective use of sensors and analytics will enable more timely a response, and more efficient use of personnel, specialty equipment, and site location specifics because of better information for deployment teams to address damage. Detection of physical characteristics such as vibration, ice build up, hot spots, aging and deterioration of assets/equipment, metal fatigue and other considerations could prevent disruptions. In cold climates, ice storms can cause outages, and extreme weather events are constantly a threat to electricity towers. A system was developed to collect information from sensors, as well as relevant analytics to detect abnormalities to address damage, and for operator visualizations screens.
  • Keywords
    condition monitoring; distributed sensors; electrical maintenance; power system measurement; power system reliability; sensor placement; smart power grids; aging detection; asset deterioration; equipment deterioration; hot spot detection; ice build-up detection; metal fatigue; sensor node; smart grid monitoring; smart grid resiliency; vibration detection; Data visualization; Ice; Microcontrollers; Monitoring; Poles and towers; Vibrations; Wires; Microcontrollers; accelerometer; magnetometer; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems (DCOSS), 2015 International Conference on
  • Conference_Location
    Fortaleza
  • Type

    conf

  • DOI
    10.1109/DCOSS.2015.41
  • Filename
    7165042