• DocumentCode
    162908
  • Title

    Steady-state modeling and simulation of a distribution feeder with distributed energy resources in a real-time digital simulation environment

  • Author

    Panwar, Mayank ; Suryanarayanan, S. ; Chakraborty, Shiladri

  • Author_Institution
    Colorado State Univ. Fort Collins, Fort Collins, CO, USA
  • fYear
    2014
  • fDate
    7-9 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents modeling procedures and validated results for the IEEE-13 node test distribution feeder using the real-time digital simulation platform RTDS-RSCAD. Models for distribution feeders in this real-time platform are rare, and this paper provides a detailed approach for developing this type of model. The platform-specific models, challenges, assumptions, solutions, and steady-state validation are presented. The feeder model developed here is aimed to be extended to an electric microgrid with integrated distributed energy resources (DER), which can be used to perform microgrid dispatch simulations. As demand curve information is important for microgrid dispatch simulations and is not available for the test feeder, a method for demand curve synthesis is presented. In addition, a method for DER sizing and placement is presented for design of a potential microgrid.
  • Keywords
    distributed power generation; power system simulation; DER; IEEE-13 node test distribution feeder; RTDS-RSCAD; demand curve information; demand curve synthesis; digital simulation environment; electric microgrid; integrated distributed energy resources; microgrid dispatch simulations; steady-state modeling; Density estimation robust algorithm; Load management; Load modeling; Microgrids; Regulators; Steady-state; Voltage control; HOMER; IEEE-13 node; asset placement; asset sizing; distribution feeder model; real time; simulation; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2014
  • Conference_Location
    Pullman, WA
  • Type

    conf

  • DOI
    10.1109/NAPS.2014.6965445
  • Filename
    6965445