• DocumentCode
    483046
  • Title

    Hybrid modeling techniques for power electronics based on Petri Net

  • Author

    Zhang, Rong ; Fan, Shengfang ; Chen, Jian

  • Author_Institution
    Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    3850
  • Lastpage
    3853
  • Abstract
    The field of power electronics poses challenging control problems that cannot be treated in a complete manner using traditional modeling and controller design approaches for the reason that power devices are typical hybrid systems in nature. The power devices become more and more complex for the tendency to be interconnected and large scale. It is very important to detect symptom in the early of large scale blackouts and take necessary precaution measures. In this paper, a hybrid method based on Petri net is introduced, which can combine knowledge-based methods and model-based methods quit well for system fault diagnosis problems. The detailed Petri Net models and relevant inference process are presented. The practical test in dc-dc, ac-dc converters shows that the fault diagnosis system based on the proposed models is practicable and effective.
  • Keywords
    AC-DC power convertors; DC-DC power convertors; Petri nets; fault diagnosis; power electronics; Petri Net; ac-dc converters; dc-dc converters; fault diagnosis system; hybrid modeling techniques; hybrid systems; knowledge-based methods; model-based methods; power devices; power electronics; Analytical models; Circuit faults; Circuit simulation; Fault diagnosis; Insulated gate bipolar transistors; Power electronics; Power system dynamics; Power system modeling; Power system protection; Switching circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771450