Xueying Yu, Kaigui Xie, Changzheng Shao, 等. Reliability Evaluation of Electrical Subsystem in Wind Turbines Considering Hygrothermal Aging of Power Electronic Devices[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):329-338.
Xueying Yu, Kaigui Xie, Changzheng Shao, et al. Reliability Evaluation of Electrical Subsystem in Wind Turbines Considering Hygrothermal Aging of Power Electronic Devices[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 329-338.
Xueying Yu, Kaigui Xie, Changzheng Shao, 等. Reliability Evaluation of Electrical Subsystem in Wind Turbines Considering Hygrothermal Aging of Power Electronic Devices[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):329-338. DOI: 10.17775/CSEEJPES.2022.02150.
Xueying Yu, Kaigui Xie, Changzheng Shao, et al. Reliability Evaluation of Electrical Subsystem in Wind Turbines Considering Hygrothermal Aging of Power Electronic Devices[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 329-338. DOI: 10.17775/CSEEJPES.2022.02150.
Reliability Evaluation of Electrical Subsystem in Wind Turbines Considering Hygrothermal Aging of Power Electronic Devices
The rapid development of wind energy in the power sectors raises the question about the reliability of wind turbines for power system planning and operation. The electrical subsystem of wind turbines (ESWT)
which is one of the most vulnerable parts of the wind turbine
is investigated in this paper. The hygrothermal aging of power electronic devices (PEDs) is modeled for the first time in the comprehensive reliability evaluation of ESWT
by using a novel stationary “circuit-like” approach. First
the failure mechanism of the hygrothermal aging
which includes the solder layer fatigue damage and packaging material performance degradation
is explained. Then
a moisture diffusion resistance concept and a hygrothermal equivalent circuit are proposed to quantitate the hygrothermal aging behavior. A conditional probability function is developed to calculate the time-varying failure rate of PEDs. At last
the stochastic renewal process is simulated to evaluate the reliability for ESWT through the sequential Monte Carlo simulation
in which failure
repair
and replacement states of devices are all included. The effectiveness of our proposed reliability evaluation method is verified on an ESWT in a 2 MW wind turbine use time series data collected from a wind farm in China.
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references
1. National Energy Administration. ( 2020, Feb. 28 ), Wind power operation in 2019 . [Online ] . Available: https://www.nea.gov.cn/2020-02/28/c_138827910.htm