• DocumentCode
    2674259
  • Title

    Development of composite load models of power systems using on-line measurement data

  • Author

    Choi, Byoung-Kon ; Chiang, Hsiao-Dong ; Li, Yinhong ; Chen, Yung-Tien ; Huang, Der-Hua ; Lauby, Mark G.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Load representation has a significant impact on power system analysis and control results. In this paper, composite load models are developed based on on-line measurement data from a practical power system. Three types of static-dynamic load models are derived: general ZIP-induction motor model, exponential-induction motor model and Z-induction motor model. For dynamic induction motor model, two different third-order induction motor models are studied. The performances in modeling real and reactive power behaviors by composite load models are compared with other dynamic load models in terms of relative mismatch error. In addition, numerical consideration of ill-conditioned parameters is addressed based on trajectory sensitivity. Numerical studies indicate that the developed composite load models can accurately capture the dynamic behaviors of loads during disturbance
  • Keywords
    induction motors; power system parameter estimation; power system stability; ZIP-induction motor; composite load; exponential-induction motor; load representation; third-order induction motor; Control system analysis; Induction motors; Load modeling; Power measurement; Power system analysis computing; Power system control; Power system dynamics; Power system measurements; Power system modeling; Power systems; composite load model; measurement-based approach; nonlinear least-squares; parameter estimation; stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709013
  • Filename
    1709013