基于数据驱动的海上风力发电机组独立变桨距控制

Individual Pitch Control of Offshore Wind Turbine Based on Data-Drive

针对传统的变桨控制算法收敛速度慢和精度低的缺点,研究一种基于数据驱动的海上风力发电机组独立变桨控制方法。该方法在传统统一变桨控制的基础上设计了广义无模型预测控制器,通过基于拟牛顿信赖域的方法改进混沌粒子群优化算法从而提高了寻优速度。仿真结果表明:所提出的方法能有效提高海上风力发电机组的功率预测精度以及载荷优化效率,为保证海上风力发电机组的稳定性和可靠性提供了有力依据。

According to the slow convergence speed and low accuracy of traditional pitch control, an individual pitch control method of offshore wind turbine based on data-oh＇ire is proposed. This method improves the traditional uniform pitch control based on the design of the generalized model free predictive controller, improves chaotic particle swarm optimization algorithm to improve the optimization through the method of speed based on quasi-newton trust-region. The simulation results show that the proposed method can effectively improve the accuracy and efficiency of the power load forecasting optimization of offshore wind turbine, pro- vide a strong basis to ensure the stability and reliability of offshore wind turbine.