摘要
针对基础含有多自由度的特点,在复杂风浪载荷下风电机组更容易产生剧烈的结构载荷的问题,该文建立含风浪载荷的动力学模型与蚁狮算法配合,寻求机舱中调谐质量阻尼器(Tuned Mass Damper,TMD)各参数最优解。首先,基于拉格朗日方程建立含风浪载荷的动力学模型,采用Levenberg-Marquardt(LM)算法分别对动力学模型未知参数和风浪载荷参数进行辨识;其次,采用蚁狮算法和含风浪载荷的动力学模型配合对TMD各参数同时寻优;最后,在5种典型工况下,利用FAST全耦合模型验证TMD的减载效果。结果显示,优化参数后的TMD能有效降低漂浮式风电机组关键部位疲劳载荷。对比有无TMD时,叶根纵向弯矩降低约10%~30%,叶根纵向剪力降低了约10%~35%,塔基纵向弯矩降低了约10%~45%。
In view of the fact that the floating platform contains multiple degrees of freedom,wind turbine generators are more likely to generate severe structural loads under complex wind wave loads.In this paper,a dynamic model with wind wave loads is established to cooperate with the ant lion algorithm to find the optimal solution of the parameters of the Tuned Mass Damper(TMD)in the nacelle.Firstly,a dynamic model with wind wave load is established based on Lagrange equation,and Levenberg Marquardt(LM)algorithm is used to identify the unknown parameters of the dynamic model and wind wave load parameters respectively;Secondly,the ant lion algorithm and the dynamic model with wind wave load are used to optimize the TMD parameters at the same time;Finally,under five typical working conditions,the load shedding effect of TMD is verified using FAST full coupling model.The results show that:the optimized TMD can effectively reduce the fatigue load of the key parts of the floating wind turbine.With or without TMD,the longitudinal bending moment of blade root decreases by about 10%~30%,the longitudinal shear force of blade root decreases by about 10%~35%,and the longitudinal bending moment of tower foundation decreases by about 10%~45%.
出处
《科技创新与应用》
2023年第7期8-14,共7页
Technology Innovation and Application
