• DocumentCode
    55983
  • Title

    State Estimation for Supervisory Monitoring of Substations

  • Author

    Sungmin Park ; Eunjae Lee ; Wonkun Yu ; Heungjae Lee ; Jeonghoon Shin

  • Author_Institution
    Dept. of Electr. Eng., Kwangwoon Univ., Seoul, South Korea
  • Volume
    4
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    406
  • Lastpage
    410
  • Abstract
    This paper introduces the application of state estimation to double bus double breaker distribution substations, which are typically used in the Korean power system, to improve the reliability of substation automation systems. In spite of the recent remarkable progress in the field of sensors and equipments, it is hard to detect device malfunctions or degraded devices automatically in the supervisory monitoring system. The object of the proposed system is not the state estimation itself, but its application to the supervisory detection of the malfunction or degradation of the devices. The supervisory monitoring process consists of a two step procedure-topology processing and normal state estimation. In a substation, the on-off states of the circuit breakers determine the topology. This paper mainly presents the topology processing expert system including the knowledge representation. The expert system is operated with a predefined period to identify and correct topological errors in the distribution substations. The proposed system is now in the field test stage in the Sanchung pilot substation and it will be applied to the next generation substation automation system in Korea.
  • Keywords
    circuit breakers; computerised monitoring; expert systems; knowledge representation; power distribution reliability; power engineering computing; power system state estimation; substation automation; Korea; Korean power system; Sanchung pilot substation; circuit breaker on-off states; device degradation supervisory detection; device malfunction supervisory detection; double-bus double-breaker distribution substations; equipment field; knowledge representation; next generation substation automation system; normal state estimation; reliability improvement; sensor field; substation supervisory monitoring system; topological error correction; topological error identification; topology processing expert system; Circuit breakers; Expert systems; Monitoring; State estimation; Substations; Topology; Electrical substations; expert system; supervisory monitoring; topological error; topology processor;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2240322
  • Filename
    6461497