• DocumentCode
    376400
  • Title

    Parameters weighting-mean synthesis modeling to induction motor

  • Author

    Xinran, Li ; Yuanxin, Chen

  • Author_Institution
    Hunan Univ., Changsha, China
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    60
  • Abstract
    This article provides a modeling method of an induction motor describing aggregate electric power load, which is called "parameter weighting-mean synthesis modeling". This method is based on the identification modeling for every single load record. The essential procedure of this method is that we obtain every set of model parameters of induction motor for all corresponding load records with identification modeling respectively at first, and then get the weighting-mean parameters of all single identification modeling. Finally we use the weighting-mean parameters as equivalent model parameters of an induction motor describing the aggregate power load. The practical modeling results show that this method is very convenient to use and is simpler and more effective than the "synthesis identification modeling"
  • Keywords
    identification; induction motors; load (electric); machine theory; aggregate electric power load; equivalent model parameters; identification modeling; induction motor; induction motor model; modeling method; parameter weighting-mean synthesis modeling; Aggregates; Equations; Induction motors; Load modeling; Power engineering and energy; Power system modeling; Power system simulation; Power system transients; Substations; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    7-5062-5115-9
  • Type

    conf

  • DOI
    10.1109/ICEMS.2001.970609
  • Filename
    970609