Optimal external opportunistic maintenance for wind turbines considering wind speed

被引:3
|
作者
Wang, Jinhe [1 ,2 ,3 ]
Xia, Yuqiang [1 ]
Qin, Yapeng [1 ]
Zhang, Xiaohong [1 ,2 ]
机构
[1] Taiyuan Univ Sci & Technol, Sch Econ & Management, Taiyuan, Peoples R China
[2] Taiyuan Univ Sci & Technol, Div Ind & Syst Engn, Taiyuan, Peoples R China
[3] Taiyuan Univ Sci & Technol, Div Ind & Syst Engn, 66,WaLiu Rd, Taiyuan 030024, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Condition-based maintenance; external opportunistic maintenance; genetic algorithm; wind speed variability; wind turbine; OPTIMIZATION; SYSTEMS; POLICY; FARM; COMPONENTS; STRATEGY; MODEL; COST;
D O I
10.1080/15435075.2023.2281335
中图分类号
O414.1 [热力学];
学科分类号
摘要
A novel optimal opportunistic maintenance strategy for wind turbines considering wind speed as a stochastic process is proposed in this paper. Under this strategy, periodic preventive maintenance is conducted to reduce the probability of downtime due to failure, whereas external opportunities are leveraged to reduce the cost of preventive maintenance. This combined maintenance approach can also reduce costs associated with the wind turbine lifecycle. The formulated expected costs per unit time considered two scenarios, i.e. regular operation and energy generation interruption, to obtain the optimal solution via a genetic algorithm. Furthermore, we illustrated the economic advantages of the proposed strategy by comparing various maintenance strategies, as well as a sensitivity analysis to determine the effects of the different parameters in the proposed model. Experimental results demonstrate that the proposed opportunistic maintenance strategy is more cost-effective for wind turbines than comparable methods, with an optimal solution that varies according to variations in wind speed.
引用
收藏
页码:2022 / 2041
页数:20
相关论文
共 50 条
  • [1] Optimal preventive maintenance for wind turbines considering the effects of wind speed
    Zheng, Rui
    Zhou, Yifan
    Zhang, Yingzhi
    WIND ENERGY, 2020, 23 (11) : 1987 - 2003
  • [2] An improved opportunistic group replacement maintenance strategy for wind turbines
    Ma, Zhiyong
    Wang, Dameng
    Wu, Shiming
    Teng, Wei
    Liu, Yibing
    ENERGY SCIENCE & ENGINEERING, 2020, 8 (10): : 3627 - 3637
  • [3] Opportunistic maintenance optimisation for offshore wind farm with considering random wind speed
    Su, Chun
    Wu, Lin
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 5 (1862-1878) : 1862 - 1878
  • [4] Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance
    Zhang, Chen
    Gao, Wei
    Guo, Sheng
    Li, Youliang
    Yang, Tao
    RENEWABLE ENERGY, 2017, 103 : 606 - 612
  • [5] An opportunistic maintenance strategy for wind turbines
    Wang, Dameng
    Teng, Wei
    Zhang, Gaoshuran
    Qu, Xiaofeng
    Liu, Yibing
    Ma, Zhiyong
    Kusiak, Andrew
    IET RENEWABLE POWER GENERATION, 2021, 15 (16) : 3793 - 3805
  • [6] EFFECTS OF POWER GENERATION ON THE OPPORTUNISTIC MAINTENANCE STRATEGY FOR WIND TURBINES CONSIDERING RELIABILITY
    Zhang, Chen
    Gao, Wei
    Yang, Tao
    Guo, Sheng
    Ding, Honggang
    PROCEEDINGS OF THE ASME 13TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2018, VOL 3, 2018,
  • [7] Optimal post-warranty maintenance contracts for wind turbines considering availability
    Zheng, Rui
    Zhang, Yingzhi
    Gu, Liudong
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2020, 17 (07) : 373 - 381
  • [8] Opportunistic maintenance strategy for wind turbines considering weather conditions and spare parts inventory management
    Zhang, Chen
    Gao, Wei
    Yang, Tao
    Guo, Sheng
    RENEWABLE ENERGY, 2019, 133 : 703 - 711
  • [9] A State-Age-Dependent Opportunistic Intelligent Maintenance Framework for Wind Turbines Under Dynamic Wind Conditions
    Yang, Li
    Chen, Yi
    Ma, Xiaobing
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (10) : 10434 - 10443
  • [10] Hybrid group opportunistic maintenance strategy for offshore wind turbines considering maintenance resource allocation in harsh working environments
    Xiang, Haodong
    Liu, Qinming
    Dong, Ming
    Wang, Yujie
    OCEAN ENGINEERING, 2024, 312