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Data-driven Based Active Power Distribution Algorithm in Wind Farm
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Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China

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    Abstract:

    Aiming at the inaccuracy problem of power regulation capacity of units evaluated by wind speed for active power distribution in conventional wind farms, a data-driven based active power distribution algorithm in wind farm is proposed. Firstly, the data of rotation speed and pitch angle is obtained at different wind speeds. The relative weight coefficient of variable speed system and pitch system is evaluated by the coefficient of variance method and Takagi-Sugeno fuzzy model, which can determine the adjustment capability. Then, the active power distribution of wind farm is established based on the adjustment capability of turbines. Finally, the active power distribution algorithm in wind farm with 10 wind turbines is completed in MATLAB. The simulation results show that, comparing with the distribution algorithm of wind speed weight, the fluctuation of active power in wind farm is smaller using the proposed method, the amplitude of variable speed system and pitch system is smoother, and the load of high-speed wind turbine is lower.

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LIU Jun, ZHANG Binbin,ZHAO Chencong.Data-driven Based Active Power Distribution Algorithm in Wind Farm[J].Automation of Electric Power Systems,2019,43(17):125-131.DOI:10.7500/AEPS20190110004

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History
  • Received:January 10,2019
  • Revised:July 12,2019
  • Adopted:April 29,2019
  • Online: July 11,2019
  • Published: