Real-time reduced order model based adaptive pitch controller for grid connected wind turbines

Abilash Thakallapelli, Sudipta Ghosh, S. Kamalasadan
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引用次数: 12

Abstract

In this paper a real-time reduced order model based adaptive pitch controller for grid connected wind turbines is proposed. First, a reduced grid model is generated online considering the power grid as an external area. This model is then used to derive the speed reference for the proposed pitch controller. Then an adaptive controller is designed that uses the difference of speed of the generator and the reference speed to limit the speed and aerodynamic power at the rated values of the wind turbine during high wind speed conditions. The advantage of the proposed reduced order model based pitch-control architecture is that the method minimizes the damage caused by mechanical fatigue of the wind turbine and at the same time ensures that the grid voltage and power is stable and balanced. The architecture is tested on a grid integrated wind turbine model. Then an experimental set up using real-time digital simulator (RTDS) is used to further evaluate the methodology.
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基于实时降阶模型的并网风电机组自适应螺距控制器
本文提出了一种基于实时降阶模型的风电机组自适应螺距控制器。首先,将电网作为一个外部区域,在线生成一个简化的网格模型;然后使用该模型推导出所提出的螺距控制器的速度参考。然后设计了一种自适应控制器,利用发电机转速与参考转速的差值,在高风速条件下将风力机的转速和气动功率限制在额定风速下。所提出的基于降阶模型的俯仰控制结构的优点是,该方法在保证电网电压和功率稳定平衡的同时,最大限度地减少了风力机的机械疲劳损伤。该体系结构在并网式风力发电机模型上进行了测试。然后利用实时数字模拟器(RTDS)进行实验,进一步验证了该方法。
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