• DocumentCode
    237383
  • Title

    Analysis of Reliability and Resilience for Smart Grids

  • Author

    Albasrawi, Murtadha N. ; Jarus, Nathan ; Joshi, K.A. ; Sarvestani, Sahra Sedigh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2014
  • fDate
    21-25 July 2014
  • Firstpage
    529
  • Lastpage
    534
  • Abstract
    Smart grids, where cyber infrastructure is used to make power distribution more dependable and efficient, are prime examples of modern infrastructure systems. The cyber infrastructure provides monitoring and decision support intended to increase the dependability and efficiency of the system. This comes at the cost of vulnerability to accidental failures and malicious attacks, due to the greater extent of virtual and physical interconnection. Any failure can propagate more quickly and extensively, and as such, the net result could be lowered reliability. In this paper, we describe metrics for assessment of two phases of smart grid operation: the duration before a failure occurs, and the recovery phase after an inevitable failure. The former is characterized by reliability, which we determine based on information about cascading failures. The latter is quantified using resilience, which can in turn facilitate comparison of recovery strategies. We illustrate the application of these metrics to a smart grid based on the IEEE 9-bus test system.
  • Keywords
    power system reliability; smart power grids; accidental failures; cascading failures; cyber infrastructure; malicious attacks; reliability analysis; resilience analysis; smart grids; Measurement; Power system faults; Power system protection; Reliability; Resilience; Smart grids; cyber-physical; modeling; reliability; resilience; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th Annual
  • Conference_Location
    Vasteras
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2014.75
  • Filename
    6899257