• DocumentCode
    2569247
  • Title

    Automatic determination of parameters in dynamic load models from normal operation data

  • Author

    Navarro, Inés Romero ; Samuelsson, Olof ; Lindahl, Sture

  • Author_Institution
    IEA, Lund Univ., Sweden
  • Volume
    3
  • fYear
    2003
  • fDate
    13-17 July 2003
  • Abstract
    Economic and environmental concerns will slow down the expansion of the transmission systems in many countries. The de-regulation of the power supply will introduce new power flow patterns on the bulk transmission systems. The net result is that the power systems will operate much closer to their transfer limits and operate there much longer time than has been necessary. The risk for voltage collapse determines the transfer limits in many bulk transmission systems. The recording of the load behavior directly provides information about operating conditions. The applicability of this information might be used for the dimensioning of the transfer limits, the maximum transfer capacity and the calculation of security limits. The main challenge is how to manage an on-line utility able to identify the time-varying parameters of the load, and how to deal with this information to make it useful in an on-line security assessment packages are commercially available today, but its accuracy is still limited by load model uncertainty.
  • Keywords
    electricity supply industry deregulation; load flow; power transmission economics; power transmission protection; power transmission reliability; dynamic load models; load behavior; load model uncertainty; normal operation data; online security assessment; power flow patterns; power supply; time-varying parameters; transfer limits; transmission systems; voltage collapse; Environmental economics; Information security; Load flow; Load modeling; Power generation economics; Power supplies; Power system dynamics; Power system economics; Power system modeling; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2003, IEEE
  • Print_ISBN
    0-7803-7989-6
  • Type

    conf

  • DOI
    10.1109/PES.2003.1267352
  • Filename
    1267352