• DocumentCode
    572309
  • Title

    A Wide Area Pattern Analysis Method in Power System Model Validation

  • Author

    Chen Qian ; Mu Gang ; An Jun ; Xu Xing-wei ; Shao Guang-hui ; Wang Gang

  • Author_Institution
    Electr. Eng. Coll., Northeast Dianli Univ., Jilin, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A fuzzy decoupling technique is proposed for model validation of large-scale power systems. To solve the problem of incredibility lying in power system dynamic simulations, a wide area pattern (WAP) is defined which reflects the parameter effects of certain component to the space-time trajectories, especially with consideration of the characteristics of huge amount of measurements and model parameters in large-scale power systems. Based on the clustering analysis of WAPs of certain component throughout the grid, a fuzzy mapping relationship can be obtained between the model parameters and the space-time trajectories, and then measurement-based parameter calibration can be performed according to the strong mapping relationships. A calibration priority indicator is also given. At last, the rationality of the method is discussed in the IEEE 39 bus system.
  • Keywords
    calibration; power grids; power system measurement; power system simulation; IEEE 39 bus system; clustering analysis; fuzzy decoupling; fuzzy mapping relationship; large-scale power systems; measurement-based parameter calibration; power grid; power system dynamic simulations; power system model validation; space-time trajectory; wide area pattern analysis; Calibration; Generators; Load modeling; Power system dynamics; Power system stability; Trajectory; Wireless application protocol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307574
  • Filename
    6307574