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On Wind Turbine Model Predictive Pitch Control: An Event-Based Simulation Approach

机译:基于事件的仿真方法研究风力涡轮机模型的预测变桨控制

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摘要

This paper is about a hierarchical structure with an event-based supervisor in a higher level and a model predictive control (MPC) in a lower level applied to a wind turbine. The event-based supervisor analyzes the operation conditions to determine the state of the wind turbine. The objectives and constraints of the model predictive controller can also be adjusted by this supervisory controller. This hierarchical structure is able to ensure the performance and reliability required for a wind turbine to be integrated into an electric grid. Comparisons between model predictive pitch control and a default proportional integral pitch controller applied to a wind turbine benchmark are given and simulation results by Matlab/Simulink are shown in order to prove the effectiveness of the proposed approach.
机译:本文是关于一种分层结构,其中高层基于事件的管理器和较低层的模型预测控制(MPC)应用于风力涡轮机。基于事件的主管分析运行状况以确定风力涡轮机的状态。模型预测控制器的目标和约束也可以通过此监管控制器进行调整。这种分级结构能够确保将风力涡轮机集成到电网中所需的性能和可靠性。给出了模型预测桨距控制与应用于风力发电机基准的默认比例积分桨距控制器之间的比较,并给出了Matlab / Simulink的仿真结果,以证明该方法的有效性。

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