• DocumentCode
    3099856
  • Title

    A CIM-based system model for life-cycle assets management and control integration in smart grid

  • Author

    Rui, Sun

  • Author_Institution
    Res. Center of Energy Technol. & Econ., Chongqing Univ., Chongqing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    18-19 Oct. 2010
  • Abstract
    Life-cycle assets management (LCAM) is promising for improving power system efficiency and reliabilities, lowering life-cycle costs of smart grid. This paper, after investigating assets management life cycle covering from assets procurement to retirement phrase, proposes an assets operation and management integrated system model, which serves such differential targets as LCC analysis and maintenance policies making based on life-cycle online and offline operational data integration. Further, some issues are discussed about system implementation without influencing upon existing applications. Finally, feasible technical solutions are proposed related to these issues such as data format translation from legacy data into CIM-based data, security concerns between different applications with time consistent constraints.
  • Keywords
    data handling; maintenance engineering; power engineering computing; power system control; power system economics; power system management; power system reliability; power system security; smart power grids; CIM-based system model; LCC analysis; assets operation; assets procurement; control integration; data format translation; legacy data; life-cycle assets management; life-cycle cost; maintenance policy making; operational data integration; power system efficiency; power system reliability; retirement phrase; security; smart grid; Asset management; Computer integrated manufacturing; Ontologies; CIM model; assets management; data integration; life cycle cost; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking and Automation (ICINA), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8104-0
  • Electronic_ISBN
    978-1-4244-8106-4
  • Type

    conf

  • DOI
    10.1109/ICINA.2010.5636498
  • Filename
    5636498