Offshore wind turbine power curve optimization correction method based on multi-source data fusion

By optimizing the power curve of offshore wind turbines through multi-source data fusion and multi-branch neural network models, the problem of insufficient accuracy and stability of power curves in offshore wind farms has been solved, enabling refined operation and maintenance and performance optimization.

CN122412903APending Publication Date: 2026-07-17POWERCHINA FUJIAN ELECTRIC POWER SURVEY & DESIGN INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
POWERCHINA FUJIAN ELECTRIC POWER SURVEY & DESIGN INST CO LTD
Filing Date
2026-03-25
Publication Date
2026-07-17

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Abstract

本发明涉及基于多源数据融合的海上风机功率曲线优化校正方法,属于风力发电技术领域,包括以下步骤:采集目标海上风机运行数据以及环境数据;基于运行数据以及环境数据进行物理建模计算相关物理量,基于相关物理量构建目标海上风机的物理特征;对所有运行数据、环境数据以及物理特征进行筛选,基于筛选后的特征构建筛选特征集;构建海上风机功率曲线优化模型,基于筛选特征集对海上风机功率曲线优化模型进行训练;采集海上风机实时运行数据以及环境数据,输入训练完成的海上风机功率曲线优化模型,预测未来海上风机功率值,基于预测海上风机功率值对海上风机未来功率曲线进行校正。
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