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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Dynamic wake model with coordinated pitch and torque control of wind farms for power tracking

机译:APS-APS流体动力学分部第70届年会-事件-具有风场和转矩控制协调的动态唤醒模型,用于功率跟踪

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Control of wind farm power production, where wind turbines within a wind farm coordinate to follow a time-varying power set point, is vital for increasing renewable energy participation in the power grid. Previous work developed a one-dimensional convection-diffusion equation describing the advection of the velocity deficit behind each turbine (wake) as well the turbulent mixing of the wake with the surrounding fluid. Proof-of-concept simulations demonstrated that a receding horizon controller built around this time-dependent model can effectively provide power tracking services by modulating the thrust coefficients of individual wind turbines. In this work, we extend this model-based controller to include pitch angle and generator torque control and the first-order dynamics of the drive train. Including these dynamics allows us to investigate control strategies for providing kinetic energy reserves to the grid, i.e. storing kinetic energy from the wind in the rotating mass of the wind turbine rotor for later use.
机译:风电场发电的控制对于风电场内的风力涡轮机进行协调以遵循随时间变化的功率设定点,对于增加可再生能源在电网中的参与至关重要。先前的工作开发了一个一维对流扩散方程,该方程描述了每个涡轮机(尾流)后的速度缺陷的对流以及尾流与周围流体的湍流混合。概念验证仿真表明,围绕此时间相关模型构建的后退水平控制器可以通过调制各个风力涡轮机的推力系数来有效地提供功率跟踪服务。在这项工作中,我们将基于模型的控制器扩展到包括俯仰角和发电机转矩控制以及传动系统的一阶动力学。包括这些动力学特性使我们能够研究为电网提供动能储备的控制策略,即将来自风的动能存储在风力涡轮机转子的旋转质量中,以备后用。

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