Research on reliability of onshore wind farm power generation equipment

Xiuqi Zhang; Qiruo Sa; Yong Li; Bin Cao

doi:10.1117/12.2673921

22 May 2023 Research on reliability of onshore wind farm power generation equipment

Xiuqi Zhang, Qiruo Sa, Yong Li, Bin Cao

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126401W (2023) https://doi.org/10.1117/12.2673921
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

Wind farm is the carrier of wind power generation and new energy application, and the operational reliability of its power generation equipment is very important to optimize the international energy pattern and promote the achievement of China's double carbon target. This paper introduces the development status of onshore wind power, studies the power generation equipment in onshore wind farms, analyzes the indicators such as failure duration and failure rate, explores the typical failures in its operation, analyzes the key factors affecting its reliability, including gearbox, pitch system, converter, communication system and yaw system. And it puts forward the future research direction.

Citation Download Citation

Xiuqi Zhang, Qiruo Sa, Yong Li, and Bin Cao "Research on reliability of onshore wind farm power generation equipment", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126401W (22 May 2023); https://doi.org/10.1117/12.2673921

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