复杂环境载荷下海上风电机组综合性能评估
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作者:
作者单位:

1.三峡大学,水电机械设备设计与维护湖北省重点实验室,湖北 宜昌 443002;2.三峡大学,机械与动力学院,湖北 宜昌 443002;3.重庆大学 高端装备机械传动全国重点实验室,重庆 400044

作者简介:

李垚(1989—),男,博士,主要从事机械系统动力学与可靠性研究,(E-mail)yao_li_@outlook.com。

通讯作者:

朱才朝,男,博士,博士生导师,教授,(E-mail)cczhu@cqu.edu.cn。

中图分类号:

TH12

基金项目:

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);重庆市技术创新与应用发展专项重点项目(cstc2021jscx-jbgsX0003)。


Comprehensive performance evaluation of offshore wind turbines under complex environmental loads
Author:
Affiliation:

1.a. Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance; 1b. College of Mechanical & Power, China Three Gorges University, Yichang, Hubei 443002, P. R. China; 2. State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, P. R. China

Fund Project:

Supported by National Natural Science Foundation of China(52405067), Hubei Provincial Natural Science Foundation of China(2023AFB066), the Opening Foundation of Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance(2021KJX10), and the Special Key Program for Technological Innovation and Application Development of Chongqing(cstc2021jscx-jbgsX0003).

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    摘要:

    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2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;5 MW风电机组综合性能优于6.2 MW风电机组。

    Abstract:

    Considering the structural characteristics and both internal and external excitations of offshore wind turbines, a rigid-flexible coupled multi-body dynamic model for large-scale turbines is established. A comprehensive performance evaluation method is proposed, integrating the interpretive structural modeling(ISM) technique with the analytic network process(ANP). A multi-dimensional performance evaluation framework is built, including five primary indicators and eleven secondary indicators. The ISM method is employed to analyze the interrelationships among evaluation indicators and to develop a multi-level hierarchical structure for comprehensive assessment. The ANP is then used to construct judgment matrices, supermatrices, and limit supermatrices, through which the weights of evaluation indicators are determined. Based on these results, the comprehensive performance of offshore wind turbines is quantitatively evaluated, and a comparative analysis of two turbine models is conducted. The results show that the most influential factors affecting overall performance include blade length, time-varying reliability of bearings, gear contact fatigue reliability, and unit megawatt weight. Additionally, the 5 MW wind turbine demonstrates superior comprehensive performance compared with the 6.2 MW model.

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引用本文

李垚,余小辉,倪高翔,朱才朝,杜雪松,谭建军.复杂环境载荷下海上风电机组综合性能评估[J].重庆大学学报,2025,48(5):76-90.

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  • 收稿日期:2024-01-26
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  • 在线发布日期: 2025-07-11
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