不确定因素下风力涡轮机空气动力性能的优化与控制策略

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI:10.1063/5.0167442
Hongyan Tian, Zhihao Tang, Heng Ouyang, Rong Wang, Fang Wang, Shuyong Duan
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引用次数: 0

摘要

风力涡轮机的空气动力性能决定着整体能源效率,这一直是风力发电技术领域的研究重点。由于高度复杂的环境和结构不确定性之间的耦合效应,实际空气动力性能可能无法可靠预测。更严重的是,这种性能会随着使用时间的延长而下降。有效、可靠地评估不确定因素的影响并减少这些因素对风机空气动力性能的影响具有重要意义。本文建立了一个考虑风速和变桨角误差不确定性的风机空气动力性能不确定性分析和鲁棒性优化模型。采用无侵入概率配准法和叶片元素动量理论相结合的方法,量化变量不确定性对 NREL 5 MW 风机空气动力性能的影响。优化目标是降低风机空气动力性能对不确定性的敏感性,并保持捕获功率。结果表明,风力涡轮机的空气动力和机械性能会受到不确定因素的极大影响。通过优化调整风机转子速度和叶片桨距角,风机转子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。
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Optimization and control strategy for wind turbine aerodynamic performance under uncertainties
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.
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来源期刊
Journal of Renewable and Sustainable Energy
Journal of Renewable and Sustainable Energy ENERGY & FUELS-ENERGY & FUELS
CiteScore
4.30
自引率
12.00%
发文量
122
审稿时长
4.2 months
期刊介绍: The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields. Topics covered include: Renewable energy economics and policy Renewable energy resource assessment Solar energy: photovoltaics, solar thermal energy, solar energy for fuels Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics Bioenergy: biofuels, biomass conversion, artificial photosynthesis Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation Power distribution & systems modeling: power electronics and controls, smart grid Energy efficient buildings: smart windows, PV, wind, power management Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies Energy storage: batteries, supercapacitors, hydrogen storage, other fuels Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other Marine and hydroelectric energy: dams, tides, waves, other Transportation: alternative vehicle technologies, plug-in technologies, other Geothermal energy
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