• DocumentCode
    6522
  • Title

    An Event-Oriented Method for Online Load Modeling Based on Synchrophasor Data

  • Author

    Yinyin Ge ; Flueck, Alexander J. ; Dae-Kyeong Kim ; Jong-Bo Ahn ; Jae-Duck Lee ; Dae-Yun Kwon

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    2060
  • Lastpage
    2068
  • Abstract
    The objective of this paper is to present a new “event-oriented” method of online load modeling for the Illinois Institute of Technology (IIT) microgrid based on synchrophasor data produced by phasor measurement units. Several load models and their parameter estimation methods are proposed. The online load modeling process is based on an adjustable sliding window applied to two different types of load step changes. The load modeling tests and related analysis of the synchrophasor data from the IIT microgrid are demonstrated.
  • Keywords
    distributed power generation; phasor measurement; power engineering computing; power system parameter estimation; IIT microgrid; Illinois Institute of Technology microgrid; event-oriented method; online load modeling process; parameter estimation method; phasor measurement units; synchrophasor data; Frequency measurement; Load modeling; Mathematical model; Microgrids; Parameter estimation; Power system dynamics; Reactive power; Dynamic load modeling; ZIP model; event detection; induction motor model; parameter estimation; phasor measurement unit (PMU); static load modeling; synchrophasor data;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2405920
  • Filename
    7072565