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With the increasing global demand for clean energy, wind power as an environmentally friendly and renewable energy, its power fluctuation amplitude and frequency have also increased, which poses a challenge to the peak and frequency regulation of the power system. Based on the actual wind power operation data of a wind farm in Inner Mongolia, this paper deeply analyzes the power distribution characteristics, volatility of wind power output time series and its correlation with other parts of the power system. At the same time, CEEMDAN was used to decompose the sampled nonlinear unstable active power output time series data into multiple corresponding intrinsic mode functions IMF. By observing the decomposed intrinsic mode function IMF and its component fluctuations, the output characteristics of wind power are deeply understood.

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Analysis of Wind Power Output and CEEMDAN Characteristics in Inner Mongolia

  • 会议论文

  • 发表日期：

    2025年

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  • Yibo Wang,
  • Zhongxu Zhou,
  • Hongdan Liu,
  • Lifeng Zhu,
  • Zhenyu Zhao,
  • Junxiong Ge

摘要

With the increasing global demand for clean energy, wind power as an environmentally friendly and renewable energy, its power fluctuation amplitude and frequency have also increased, which poses a challenge to the peak and frequency regulation of the power system. Based on the actual wind power operation data of a wind farm in Inner Mongolia, this paper deeply analyzes the power distribution characteristics, volatility of wind power output time series and its correlation with other parts of the power system. At the same time, CEEMDAN was used to decompose the sampled nonlinear unstable active power output time series data into multiple corresponding intrinsic mode functions IMF. By observing the decomposed intrinsic mode function IMF and its component fluctuations, the output characteristics of wind power are deeply understood.