• DocumentCode
    1437836
  • Title

    Failure Identification in Smart Grids Based on Petri Net Modeling

  • Author

    Calderaro, Vito ; Hadjicostis, Christoforos N. ; Piccolo, Antonio ; Siano, Pierluigi

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy
  • Volume
    58
  • Issue
    10
  • fYear
    2011
  • Firstpage
    4613
  • Lastpage
    4623
  • Abstract
    This paper presents a method to identify and localize failures in smart grids. The method is based on a carefully designed Petri net (PN) that captures the modeling details of the protection system of the distribution network and allows the detection/identification of failures in data transmission and faults in the distribution network by means of simple matrix operations. The design of the PN model is carried out by carefully composing multiple PN models for single protection systems: Such an approach allows the identification of the faults despite possible strong penetration of distributed generation. In order to verify the method, two case studies are discussed. The results highlight that the proposed method can remove a lot of the complexity of the associated data analysis despite the possible presence of malfunctioning protection systems and misinformation due to communication and other errors.
  • Keywords
    Petri nets; distributed power generation; power distribution faults; power distribution protection; power system simulation; smart power grids; Petri net modeling; distributed generation; distribution network; failure identification; malfunctioning protection systems; smart grids; strong penetration; Circuit breakers; Circuit faults; Fault diagnosis; Integrated circuit modeling; Power systems; Relays; Sensors; Communication systems; Petri nets (PNs); information technology; power distribution protection; smart grid;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2011.2109335
  • Filename
    5704195