• DocumentCode
    2536365
  • Title

    Validation of measurement-based load modeling for large-scale power grid

  • Author

    Yanhui, Xu ; Renmu, He ; Dong, Han

  • Author_Institution
    Key Lab. of Power Syst. Protection, North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For a large-scale power grid, how to obtain load model for the substation without load characteristics recorder is the problem facing measurement-based load modeling. The feasibility that the measurement-based load model of a substation is applied to every substation was studied in this paper. The simulation results indicate that it is not feasible. Consequently, two methods were adopted to solve the problem. One method is that all substations were classified into several groups and then the measurement-based load model of a substation in every group was applied to the substations of its group. The other method is to get the base vectors of load model parameters and then obtain the load model parameters of all substations based on aggregation theory. The above two methods are validated in the practice of Northeast China Power Grid load modeling. This has important significance for generalizing measurement-based load modeling to large-scale power grid.
  • Keywords
    fuzzy set theory; power grids; power system measurement; power system simulation; substations; Northeast China Power Grid; aggregation theory; dynamic simulation; fuzzy clustering; large-scale power grid; measurement-based load modeling; substation modeling; Large-scale systems; Load modeling; Power grids; Power measurement; Power system dynamics; Power system modeling; Power system simulation; Rotors; Substations; Torque; Aggregation theory; Dynamic simulation; Fuzzy clustering; Large-scale power grid; Load model; Validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596362
  • Filename
    4596362