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Hybrid modelling and predictive control of utility-scale variable-speed variable-pitch wind turbines

机译：公用事业尺度变速变音风力涡轮机的混合建模与预测控制

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摘要

Wind energy has proven to be the highest reliable source of renewables due to the maturity of the technology. Wind turbine (WT) systems are complex systems with undergoing development process that requires innovative methods of design and control. In this paper, WTs are studied through hybrid systems framework. Hybrid models of WT are extracted with representable dynamics from nonlinear complex design code. The WT model is formulated into a mixed-logical dynamical model (MLD) and a piecewise affine (PWA) model. Then, a receding horizon control strategy is applied to WT hybrid model resulting in a hybrid model predictive control (HMPC) with mixed-integer programming (MIP) problem. The performance of the proposed controller is compared against the baseline controller within a simulation environment for the National Renewable Energy Laboratory (NREL) 5MW benchmark WT as a case study. The analysis and investigation of HMPC highlight its capability as a potential tool for exploiting the control objectives of WT systems.
机译：由于技术成熟，风能已被证明是可再生能源的最高可靠性来源。风力涡轮机（WT）系统是具有正在进行的开发过程的复杂系统，需要创新的设计和控制方法。本文通过混合系统框架研究了WTS。 WT的混合模型用来自非线性复杂设计代码的可表示性动态提取。 WT模型配制成混合逻辑动力学模型（MLD）和分段仿射（PWA）模型。然后，将后退地平线控制策略应用于WT混合模型，从而产生混合模型预测控制（HMPC），其中混合整数编程（MIP）问题。将所提出的控制器的性能与基准控制器进行比较，以在国家可再生能源实验室（NRER）5MW基准WT的模拟环境中作为案例研究。 HMPC的分析和调查突出了其作为利用WT系统控制目标的潜在工具的能力。

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