• DocumentCode
    38631
  • Title

    Risk Assessment in Extreme Events Considering the Reliability of Protection Systems

  • Author

    Xindong Liu ; Shahidehpour, Mohammad ; Yijia Cao ; Zuyi Li ; Wei Tian

  • Author_Institution
    Coll. of Electr. & Inf., Jinan Univ., Zhuhai, China
  • Volume
    6
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1073
  • Lastpage
    1081
  • Abstract
    This paper presents a new risk assessment method that is applicable to extreme cases in power systems. This paper analyzes the interactions among protection system components and the power grid in extreme events pertaining to simultaneous faults and cascading failures. The hidden failures of protection systems could exacerbate power system conditions if cascading events tend to follow a path to a blackout. The proposed risk assessment considers detailed reliability models of protection system components including circuit breakers (CBs) and protective relays. The failure probability of a CB is formulated considering its component degradation rate and operation times. The failure model of a protective relay is constructed using the dynamic fault tree. The evolution of cascading failures of power systems in extreme conditions, which deteriorates due to protection system malfunctions, is modeled based on the actual physical system behavior. The effectiveness of the proposed risk assessment method is demonstrated using a modified 9-bus system and the IEEE 68-bus system.
  • Keywords
    circuit breakers; fault trees; power grids; power system protection; power system reliability; relay protection; risk management; IEEE 68-bus system; cascading failures; circuit breakers; dynamic fault tree; extreme events; failure probability; modified 9-bus system; power grid; power system conditions; protection system reliability; protective relays; risk assessment; simultaneous faults; Degradation; Power system reliability; Protective relaying; Reliability; Topology; Asset evaluation; cascading failures; dynamic fault tree (DFT); extreme events; failure model; risk assessment;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2393254
  • Filename
    7024106