• DocumentCode
    3689434
  • Title

    Interdependency in smart grid recovery

  • Author

    Jonas Wäfler;Poul E. Heegaard

  • Author_Institution
    Department of Telematics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
  • fYear
    2015
  • Firstpage
    201
  • Lastpage
    207
  • Abstract
    The pervasive use of information and communication technology (ICT) in the future power grid creates an interdependent system: ICT systems depend on power supply and the power grid depends on information channels and systems for monitoring and controlling. The automation of processes with ICT can reduce the most frequent failures and decrease their consequences. However, the added complexity and the tight integration comes with new failure sources and increased mutual dependencies between the systems and opens the possibility for more catastrophic failures. In this paper we focus on these interdependencies between the power grid and ICT in different phases of the recovery process of a power failure. We model the dependencies and quantify the effect of using smart monitoring devices in the detection phase. The analysis shows that adding battery backup into the communication network is a good measure to delay the interdependency effect encountered. The study of scenarios with different degrees of battery support, number of repair crews and fault detection mechanisms indicates that while automation can reduce the human effort needed for the most frequent failures, it can lead to longer down times in less frequent incidents, if no prevention measures are taken. Finally, we show that the skill sets and training level of the repair crews play a crucial role and can be used to prevent the negative effect in low frequency incidents.
  • Keywords
    "Maintenance engineering","Power grids","Batteries","Mobile communication","Mobile computing","Base stations","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Reliable Networks Design and Modeling (RNDM), 2015 7th International Workshop on
  • Print_ISBN
    978-1-4673-8050-8
  • Type

    conf

  • DOI
    10.1109/RNDM.2015.7325230
  • Filename
    7325230