• DocumentCode
    8363
  • Title

    Hardware-in-the-Loop Wind Turbine Simulation Platform for a Laboratory Feeder Model

  • Author

    Hardy, Trevor ; Jewell, Ward

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • Volume
    5
  • Issue
    3
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1003
  • Lastpage
    1009
  • Abstract
    As part of a larger project to build a laboratory-based smart grid feeder, there was a need to incorporate renewable energy sources into the feeder model. The goal in this project was to create a hardware-in-the-loop (HIL) wind turbine simulation platform. Software is used to calculate a dynamic optimal power point from time-series wind speed data and to generate control signals for the platform´s hardware. The hardware consists of a dc motor providing mechanical power to a coupled generator. To validate the HIL simulation platform, time-series wind speed and output power data were used from an installed and operating utility-scale turbine. The steady-state performance of the HIL simulator correlates well with the provided manufacturer´s curve, but the dynamic performance of the system is more varied with periods of excellent correlation as well as poor. A richer data set from the utility containing more than wind speed and power output (such as wind direction and turbine yaw position) could provide substantial improvements to the dynamic performance.
  • Keywords
    power system simulation; smart power grids; wind power plants; wind turbines; HIL simulation platform; control signal generation; coupled generator; dc motor; dynamic optimal power point; hardware-in-the-loop wind turbine simulation platform; laboratory feeder model; laboratory-based smart grid feeder; mechanical power; operating utility-scale turbine; output power data; renewable energy sources; steady-state performance; time-series wind speed data; Blades; DC motors; Generators; Hardware; Software; Wind speed; Wind turbines; Control systems; dc motors; real-time systems; simulation; wind energy; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2320600
  • Filename
    6816077