基于场级偏航控制的海上漂浮式风电场功率-载荷协同优化OA
Power-load collaborative optimization of offshore floating wind farms based on farm-level yaw control
为在优化风电场发电量的同时考虑风力机间复杂的尾流作用,采用偏航控制技术,实现了海上漂浮式风电场总发电量与风力机疲劳载荷的协同优化.首先,分析了偏航角和上游风力机尾流效应对下游风力机塔筒底部平面外弯矩的影响,提出了针对叶轮面风速不均匀分布的线性化降维处理方法.然后,搭建了风力机疲劳载荷预测模型,并结合遗传算法,实现了风电场级偏航控制优化.结果表明,所建立的载荷预测模型误差仅为1.73%.风力机疲劳载荷与偏航角成负相关关系,与风速及湍流强度成正相关关系.即使在已开展布局优化的实际风电场中,风电场级偏航控制技术仍能使其总发电量提升0.3%,同时有效降低疲劳载荷.
To consider the complex wake effects between the wind turbines when optimizing the power output of wind farms,collaborative optimization of the total power output and fatigue load of the wind turbines in off-shore floating wind farms was realized using farm-level yaw control.First,the effects of the yaw angle and wake effects of upstream wind turbines on the fatigue load of the out-of-plane tower bottom moment were ana-lyzed.A linearization dimensionality reduction method was proposed to handle the imbalanced wind velocity distributions of wind turbines.Then,a prediction model for the fatigue load of the wind turbines was estab-lished.The wind-farm-level yaw control is optimized via the genetic algorithm.The results show that the pro-posed load prediction model has an error of only 1.73%.The fatigue load of the wind turbines is negatively correlated with the yaw angle,and positively correlated with the wind velocity and turbulence intensity.As for the actual wind farms where layout optimization has been implemented,the wind-farm-level yaw control can still increase the total power output by 0.3%and reduce the fatigue load effectively.
王艺泽;刘震卿
华中科技大学土木与水利工程学院,武汉 430074华中科技大学土木与水利工程学院,武汉 430074
能源科技
海上漂浮式风力机功率优化载荷控制尾流效应偏航控制
floating offshore wind turbinepower optimizationload controlwake effectyaw control
《东南大学学报（自然科学版）》 2026 (9)
1309-1315,7
国家自然科学基金资助项目(52408532)中国博士后基金面上基金资助项目(2024M761019).
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