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With the increasing demand for clean energy in the world, wind power, as an environment-friendly renewable energy, its power fluctuation amplitude and frequency also increase, which poses a challenge to the peak shaving and frequency modulation ability of power system. In this study, aiming at the instability characteristics of wind power output, a wind power fluctuation characteristic index τw based on multi time scale analysis is constructed. Through the combination of time series reconstruction and variable scale analysis, the quantitative evaluation of wind power fluctuation characteristics is realized. The model combines power spectral density analysis and phase space reconstruction technology, which can effectively characterize the fluctuation intensity and probability distribution of wind power output in different time dimensions.

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Analysis of Wind Turbine Output Characteristics Based on Historical Sampling Data

  • 会议论文

  • 发表日期：

    2026年

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  • Yibo Wang,
  • Guoyu Zhao,
  • Junxiong Ge,
  • Zhenyu Zhao

摘要

With the increasing demand for clean energy in the world, wind power, as an environment-friendly renewable energy, its power fluctuation amplitude and frequency also increase, which poses a challenge to the peak shaving and frequency modulation ability of power system. In this study, aiming at the instability characteristics of wind power output, a wind power fluctuation characteristic index τw based on multi time scale analysis is constructed. Through the combination of time series reconstruction and variable scale analysis, the quantitative evaluation of wind power fluctuation characteristics is realized. The model combines power spectral density analysis and phase space reconstruction technology, which can effectively characterize the fluctuation intensity and probability distribution of wind power output in different time dimensions.