数据驱动的风能转换系统最优控制

Data-Based Optimal Control for Wind Energy Conversion System

风能转换系统具有很强的非线性,为了解决风能转换系统的建模困难问题,实现额定风速以下风能捕获率的最大化,根据数据驱动控制理论,在风能转换系统中采用数据驱动的最优控制方法。利用风能转换系统的输入输出数据获取马尔可夫参数,并构造一个数据驱动的控制器状态观测器,通过差分R iccati方程的闭合解设计出最优反馈控制器。仿真结果表明,采用数据驱动的最优控制方法,功率系数和叶尖速比都可以维持在最优值附近,有效地实现额定风速以下风能转换系统的最大风能捕获。

Wind energy conversion system（WECS） is nonlinear.In order to deal with the difficulties in modeling of WECS and maximize the wind energy capture ratio below the rated wind speed,the data-based optimal control is adopted in WECS based on data-driven control theory.The Markov parameters are obtained and a data-driven controller state observer is constructed by using input and output data of WECS.Then an optimal feedback controller is designed through the closed form of difference Riccati equation.Simulation results indicate that under the rated wind,the data-driven optimal control can effectively implement maximum energy capture by mantaining the power coefficient and the tip speed ratio around their optimal values.