Aerodynamic performance of wind turbine governs the overall energy efficiency, which has been an ever-lasting research focus in the field of wind power technology. Due to the coupling effect among the highly complex environmental and structural uncertainties, the practical aerodynamic performance may not be reliably predicted. To aggravate, this performance declines with time in service. It is of great significance to efficiently and reliably assess the impact of uncertain factors and reduce these influences on wind turbine aerodynamic performance. This paper establishes an uncertainty analysis and robustness optimization model of wind turbine aerodynamic performance considering wind speed and pitch angle error uncertainties. An approach combined the no-instrusive probabilistic collocation method is used, and the blade element momentum theory is applied to quantify influences of variable uncertainties on NREL 5 MW wind turbine aerodynamic performance. The optimization target is to reduce the sensitivity of wind turbine aerodynamic performance to uncertainties, as well as maintain capture power. The results show that the wind turbine aerodynamic and mechanical performance will be greatly affected with uncertain factors. By optimizing and adjusting wind turbine rotor speed and blade pitch angle, the wind turbine rotor power and thrust load variation can be reduced to 9.14% and 9.36%, respectively, which indeed reduces the uncertainty effects.

中文翻译：

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不确定性下风力机气动性能优化及控制策略

风力发电机的气动性能决定着整体的能源效率，一直是风电技术领域永恒的研究热点。由于高度复杂的环境和结构不确定性之间的耦合效应，实际的气动性能可能无法可靠地预测。更糟糕的是，这种性能随着使用时间的推移而下降。高效、可靠地评估不确定因素的影响并减少这些因素对风力机气动性能的影响具有重要意义。本文建立了考虑风速和桨距角误差不确定性的风力机气动性能的不确定性分析和鲁棒性优化模型。采用非侵入式概率配置相结合的方法，并应用叶片单元动量理论来量化变量不确定性对NREL 5 MW风力发电机气动性能的影响。优化目标是降低风力发电机气动性能对不确定性的敏感性，并保持捕获功率。结果表明，不确定因素的存在会对风力机气动和机械性能产生较大影响。通过优化调整风轮转速和叶片桨距角，风轮功率和推力载荷变化可分别降低至9.14%和9.36%，确实降低了不确定性影响。