• DocumentCode
    1206871
  • Title

    Development of a frequency-dependent composite load model using the measurement approach

  • Author

    Wang, Jin-Cheng ; Chiang, Hsiao-Dong ; Chang, Chung-Liang ; Liu, Ah-Hsing ; Huang, Chang-Horng ; Huang, Chiung-Yi

  • Author_Institution
    Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    1546
  • Lastpage
    1556
  • Abstract
    In control and stability studies, load models should realistically represent the aggregate load behavior of all kinds of individual components. In this paper, the development of a composite load model, where the load is represented as a combination of an RC circuit in parallel with an induction motor equivalent circuit, is presented. A procedure is developed for identifying a frequency-dependent composite load model using digital measurements from an on-line transient recording system, taking account of system frequency variation. A nonlinear model parameter estimation technique is described to derive the frequency-dependent load model. A computer program called LMSP has been developed. The program consists of five major phases: user-interface, data manipulation, load model identification; model conversion and system model response evaluation. A case study is presented to illustrate, in particular, the accuracy of the developed model for the representation of dynamic load behaviors of an actual power system
  • Keywords
    digital instrumentation; equivalent circuits; induction motors; load (electric); parameter estimation; power system analysis computing; power system control; power system measurement; power system stability; transient analysers; user interfaces; RC circuit; aggregate load behavior; computer program; control; data manipulation; digital measurements; frequency-dependent composite load model; induction motor equivalent circuit; load model identification; measurement approach; model conversion; nonlinear model parameter estimation technique; on-line transient recording system; prediction error approach; stability; system model response evaluation; user-interface; Aggregates; Circuit stability; Digital recording; Equivalent circuits; Frequency measurement; Induction motors; Load modeling; Power system dynamics; Power system modeling; Power system transients;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.336105
  • Filename
    336105