Cluster division and optimal scheduling of offshore wind power with energy storage based on fast unfolding algorithm
编号:648 访问权限:仅限参会人 更新:2022-05-28 19:58:36 浏览:326次 张贴报告

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摘要
With the rapid development of offshore wind power, its volatility also brings suffering to prediction, regulation and risk assessment. Aiming at the large-scale access scenario of offshore wind power, an offshore wind power cluster division and optimal scheduling strategy with energy storage is proposed. Firstly, the cluster partition index is normalized, and the fast unfolding clustering algorithm is used to partition the offshore wind power cluster by optimizing the modularity function; Then, taking the cluster as the unit, the offshore wind power output is optimized through energy storage to reduce the fluctuation of offshore wind power output; Finally, the results are verified by simulation based on MATLAB platform.
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报告人
LiWeiqi
southeast university

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重要日期
  • 会议日期

    05月27日

    2022

    05月29日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 05月29日 2022

    注册截止日期

  • 06月22日 2022

    报告提交截止日期

主办单位
IEEE Beijing Section
China Electrotechnical Society
Southeast University
协办单位
IEEE Industry Applications Society
IEEE Nanjing Section
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