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
  • [11] An opportunistic maintenance strategy for offshore wind turbine system considering optimal maintenance intervals of subsystems
    Li, Mingxin
    Wang, Mian
    Kang, Jichuan
    Sun, Liping
    Jin, Peng
    OCEAN ENGINEERING, 2020, 216
  • [12] Joint external and internal opportunistic optimisation for wind turbine considering wind velocity
    Wang, Jinhe
    Zhang, Xiaohong
    Zeng, Jianchao
    Zhang, Yunzheng
    RENEWABLE ENERGY, 2020, 159 (159) : 380 - 398
  • [13] Operations & Maintenance Optimization of Wind Turbines Integrating Wind and Aging Information
    Yang, Li
    Li, Gaoyang
    Zhang, Zihan
    Ma, Xiaobing
    Zhao, Yu
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (01) : 211 - 221
  • [14] An opportunistic maintenance policy for offshore wind farms
    Kang, Jichuan
    Guedes Soares, C.
    OCEAN ENGINEERING, 2020, 216
  • [15] Multi-component opportunistic maintenance optimization for wind turbines with consideration of seasonal factor
    Su Chun
    Hu Zhao-yong
    Liu Yang
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2020, 27 (02) : 490 - 499
  • [16] Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions
    Liu, Qinming
    Li, Zhinan
    Xia, Tangbin
    Hsieh, Minchih
    Li, Jiaxiang
    ENERGIES, 2022, 15 (02)
  • [17] Optimal maintenance management of offshore wind turbines by minimizing the costs
    Peinado Gonzalo, Alfredo
    Benmessaoud, Tahar
    Entezami, Mani
    Garcia Marquez, Fausto Pedro
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 52
  • [18] A real-time inspection and opportunistic maintenance strategies for floating offshore wind turbines
    Li, He
    Huang, Cheng-Geng
    Soares, C. Guedes
    OCEAN ENGINEERING, 2022, 256
  • [19] Determination of rated wind speed for maximum annual energy production of variable speed wind turbines
    Sedaghat, Ahmad
    Hassanzadeh, Arash
    Jamali, Jamaloddin
    Mostafaeipour, Ali
    Chen, Wei-Hsin
    APPLIED ENERGY, 2017, 205 : 781 - 789
  • [20] OPPORTUNISTIC MAINTENANCE OPTIMIZATION FOR WIND TURBINE SYSTEMS CONSIDERING IMPERFECT MAINTENANCE ACTIONS
    Ding, Fangfang
    Tian, Zhigang
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2011, 18 (05) : 463 - 481