• DocumentCode
    382988
  • Title

    Advanced substation data collecting and processing for state estimation enhancement

  • Author

    Jakovljevic, Sasa ; Kezunovic, Mladen

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    25-25 July 2002
  • Firstpage
    201
  • Abstract
    Many functions within a substation can be performed more efficiently if all the substation data is collected from and shared among intelligent electronic devices (IEDs). Gathered measurements and apparatus statuses can be processed by (local) substation computer(s). Processing includes data consistency checking, switching sequence monitoring, predicting switching outcomes, etc. Processed data may be used locally and/or communicated to remote sites (neighboring substations and/or control centers). Substation data integration is facilitated by existence and appropriate connection of IEDs. The paper presents an approach to implementation of substation data integration and information exchange. The emphasis is on the utilization of local data redundancy to enhance power system state estimation, especially topology error detection.
  • Keywords
    computerised monitoring; power system measurement; power system state estimation; signal processing; substations; data consistency checking; data redundancy; information exchange; intelligent electronic devices; state estimation enhancement; substation data collecting; substation data processing; switching outcomes prediction; switching sequence monitoring; topology error detection; Circuit topology; Computerized monitoring; Data acquisition; Power measurement; Power system measurements; Power system modeling; Redundancy; Remote monitoring; State estimation; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2002 IEEE
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-7518-1
  • Type

    conf

  • DOI
    10.1109/PESS.2002.1043215
  • Filename
    1043215