综合考虑海上风电机组结构特征和内外部激励，建立大型风电机组刚柔耦合多体动力学模型，提出一种基于解释结构模型和网络层次分析法的风电机组综合性能评估方法。建立风电机组综合性能评估架构，包含5个一级指标和11个二级指标；利用解释结构模型(Interpretive Structural Model, ISM)分析指标间的内在联系，建立整机综合性能评估指标多层递阶结构模型；采用网络层次分析法(Analytic Network Process, ANP)构建判断矩阵、超矩阵及极限超矩阵，求解获得整机综合性能评估指标权重，定量评估整机综合性能，比较分析两款机型的综合性能。结果表明：风电机组整机综合性能的主要影响因素为叶片长度、轴承时变可靠性、齿轮接触疲劳可靠性和单位兆瓦重量。5MW风电机组综合性能优于6.2MW风电机组。

Considering the structural characteristics and internal and external excitations of offshore wind turbines, a rigid-flexible coupled multi-body dynamic model for large wind turbines is established. A comprehensive performance evaluation method for wind turbines is proposed based on the interpretive structural model and the analytic network process. A comprehensive performance evaluation framework for wind turbines is built, including five primary indicators and 11 secondary indicators. An interpretive structural model is adopted to analyze the inherent connections between indicators. Following this, a multi-layer hierarchical structural model is produced to evaluate the comprehensive performance of wind turbines. The analytic network process is used to construct judgment matrices, hypermatrices, and extreme hypermatrices. The weights of comprehensive performance evaluation indicators are solved. Following this, the comprehensive performance of the wind turbine is quantitatively evaluated, and the comprehensive performances of the two models are compared and analyzed. The results show that the main factors affecting the comprehensive performance of wind turbines are blade length, bearing time-varying reliability, gear contact fatigue reliability and unit megawatt weight. The comprehensive performance of 5MW wind turbines is better than that of 6.2MW wind turbines.

TH12

国家自然科学基金资助项目(52405067)、湖北省自然科学基金资助项目(2023AFB066)、水电机械设备设计与维护湖北省重点实验室开放基金(2021KJX10)和重庆市技术创新与应用发展专项重点项目(cstc2021jscx-jbgsX0003)