• DocumentCode
    3454739
  • Title

    Fault diagnosis based on fault recorder data and temporal constraint network in HV transmission system

  • Author

    Ling Yue ; Liao, Zhiwei ; Huang, Shaoxian

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    21-23 June 2010
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    Fault recorders(FRs) are used in substations to capture recordings of various disturbances and fault events. This paper describes implementation of these recordings which performs fault detection and diagnosis of high voltage transmission lines accurately. The time sequence of fault events is extracted from fault analog signal in a substations by preprocessed; The causal relationship between protection or breaker actions and fault events is researched; The timing information of fault events and protection or breaker actions in the fault diagnosing process is analyzed. Then the temporal constraint network about a typical fault mode is formed which based on the concepts of the time-point and time-distance constraints. And can improve the accuracy of the task of fault diagnosis and evaluation of the breakers and protection actions.Finally, the efficiency of the method is verified with a practical example.
  • Keywords
    HVDC power transmission; data recording; fault diagnosis; power transmission lines; power transmission protection; substations; HV transmission system; breaker actions; breakers; fault analog signal; fault detection; fault diagnosis; fault events; fault recorder data; protection; substations; temporal constraint network; time sequence; time-distance constraint; time-point constraint; Data mining; Fault detection; Fault diagnosis; Information analysis; Signal analysis; Signal processing; Substation protection; Timing; Transmission lines; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Circuits and Systems (ICGCS), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6876-8
  • Electronic_ISBN
    978-1-4244-6877-5
  • Type

    conf

  • DOI
    10.1109/ICGCS.2010.5543000
  • Filename
    5543000