• DocumentCode
    2056376
  • Title

    Research of power system fault diagnosis method based on information identification

  • Author

    Zhe Liu ; Jie Liu ; Zhongjie Jiao

  • Author_Institution
    Henan Puyang Power Supply Co., Puyang, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The main current research achievements for power system diagnoses are summarized, a fault diagnosis method based on information identification is proposed in this paper. Through the analysis of the power flow difference between normal operation and fault tripping, a fault equipment confirmed algorithm based on abnormal changes in the structure of power grid is developed, the evaluation of the action of the related relay protection and circuit breaker is realized by taking the confirmed fault equipment as the beginning of logic analysis. In order to identify the fault information sent out by SCADA system,accident information,abnormal information and status changing information are used in a identify fault information model. The model analyses these three parts information and identify their validity. The model combining with the fault diagnosis method received good results.
  • Keywords
    SCADA systems; fault diagnosis; load flow; power grids; power system faults; power system protection; relay protection; SCADA system; abnormal information; accident information; circuit breaker; fault equipment; fault information model; fault tripping; information identification; logic analysis; power flow; power grid; power system fault diagnosis method; relay protection; status changing information; fault diagnosis; information identification; regional power grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508418
  • Filename
    6508418