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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.
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页码:2022 / 2041
页数:20
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