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基于数据驱动的风电机组偏航行为智能修正方法

Intelligent Correction Method for Wind Turbine Yaw Behavior Based on Data-Driven Approach

  • 摘要: 随着风能资源的广泛开发,风电机组的效率和可靠性成为研究的热点。风电机组在实际运行中,受到风速、风向变化的影响,偏航系统的性能直接影响发电效率。为此,首先分析了常规模式下风速、风向变化引起的风电机组偏航对发电功率的影响,然后提出了一种基于数据驱动的风电机组偏航行为智能修正方法,该方法采用模糊控制算法,最后通过比较修正前后的发电功率变化,验证了该方法的有效性。

     

    Abstract: With the extensive development of wind energy resources, the efficiency and reliability of wind turbine systems have become hot topics of research. In actual operation, wind turbines are affected by changes in wind speed and direction, and the performance of the yaw system directly affects the power generation efficiency. This paper first analyzes the impact of yaw caused by changes in wind speed and direction on the power generation of wind turbines under conventional mode, and then proposes an intelligent correction method for wind turbine yaw behavior based on data-driven approach. This method uses a fuzzy control algorithm, and the effectiveness of the method is verified by comparing the changes in power generation before and after the correction.

     

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