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Optimized dielectric barrier discharge‐plasma actuator for active flow control in wind turbine

机译:优化的介质阻挡放电等离子体致动器,用于风力涡轮机中的主动流量控制

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The efficiency of horizontal axis wind turbines greatly depends on the efficient utilization of the aerodynamic lift force. The coefficient of lift could be altered using the flow control techniques. The dielectric barrier discharge (DBD)-based plasma actuator is an evolving active flow control technique in which the moment induced in air by DBD plasma activation improves the power capturing capacity of the blades without any mechanical actuation. But due to the offset plasma actuation in extreme wind condition, it would induce structural stress on turbine components. The effect of optimized plasma actuation by varying the voltage amplitude and with a fixed frequency of 24 kHz is to be analyzed. The duty cycle of the plasma actuator is maintained constant at 90%. The optimal point plasma operation would ensure the maximum power production and reduced bending moment of blades. The optimum plasma activation also reduces the power consumption of the actuator. The instantaneous optimum Pareto best is obtained by recursive identification of dynamic system response using non-dominated sorting genetic algorithm 2. The converging points of the algorithm are validated using a NREL FAST 5MW offshore baseline wind turbine model interfaced with MATLAB.
机译:水平轴风力涡轮机的效率在很大程度上取决于对气动升力的有效利用。升力系数可以使用流量控制技术进行更改。基于介电势垒放电(DBD)的等离子致动器是一种不断发展的主动流控制技术,其中DBD等离子激活在空气中引起的力矩可提高叶片的功率捕获能力,而无需任何机械致动。但是由于在极端风力条件下等离子驱动的偏移,它将在涡轮机部件上引起结构应力。将分析通过改变电压幅度并以24 kHz固定频率优化等离子体致动的效果。等离子致动器的占空比保持恒定在90%。最佳的点等离子体操作将确保最大的发电量并减少叶片的弯矩。最佳的等离子体激活还减少了执行器的功耗。通过使用非支配排序遗传算法2递归识别动态系统响应,可以获得瞬时最优Pareto best。使用与MATLAB接口的NREL FAST 5MW离岸基准风力涡轮机模型验证算法的收敛点。

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