• DocumentCode
    466173
  • Title

    CIM-Based Network Models in a Multi-Vendor Environment at CAISO

  • Author

    Haq, E. ; Dobrowolski, Ed

  • Author_Institution
    EMS Inf. Technol. California Indep. Syst., Folsom, CA
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The computer system at California Independent System Operator (CAISO) is based on distributed system architecture. This involves many software application vendors and "homegrown" systems. The major system components that use the network models are the Energy Management System (EMS), and the Electricity Market Systems (i.e., systems for running the Integrated Forward Markets, Real Time Markets, and the Congestion Revenue Rights (CRR)). The CAISO has an EMS system called Network Management System from ABB Network Management. The network applications that are operational with the CAISO EMS system are State Estimator, Contingency Analysis and the Dispatcher Load Flow. The EMS network model includes a detailed representation of the electrical network of the CAISO Control Area and a simplified representation of the WECC bulk power system up to 161 KV with a few exceptions.
  • Keywords
    distributed processing; power engineering computing; power markets; California Independent System Operator; common information model; computer system; congestion revenue rights; contingency analysis; dispatcher load flow; distributed system architecture; electricity market systems; energy management system; integrated forward markets; multivendor environment; network management system; real time markets; state estimator; Application software; Computer architecture; Distributed computing; Electricity supply industry; Energy management; Medical services; Power system management; Power system modeling; Real time systems; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385531
  • Filename
    4275413