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Cluster division and optimal scheduling of offshore wind power with energy storage based on fast unfolding algorithm
ID：648 View Protection：ATTENDEE Updated Time：2022-05-28 19:58:36 Hits：719 Poster Presentation

Start Time：Pending（Asia/Shanghai）

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Abstract
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.
Keywords
Speaker
LiWeiqi
southeast university

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

Sponsored By
IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
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