• DocumentCode
    3665606
  • Title

    Fast parameter identification and modeling of electric load based on simplified composite load model

  • Author

    Songtai Yu;Shuqing Zhang;Yingduo Han; Chao Lu; Zhihong Yu; Xinran Zhang

  • Author_Institution
    Department of electrical engineering, Tsinghua University, Haidian District, Beijing, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.
  • Keywords
    "Load modeling","Parameter estimation","Power system stability","Active filters","Stability analysis","Rotors","Power system dynamics"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286063
  • Filename
    7286063