Research Status and Prospect of Condition Based Maintenance Technology for Offshore Wind Turbine Electrical Equipment
Gao Chen1, Zhao Yong1, Wang Deliang2, Cheng Yonghong3, Chen Xiaolu4
1. Xi’an Thermal Power Research Institute Co. Ltd Xi’an 710032 China; 2. Hunan Branch of China Huaneng Group Co. Ltd Changsha 410000 China; 3. Xi’an Jiaotong University Xi’an 710049 China; 4. Jiangsu Clean Energy Branch Huaneng Power International Inc. Nanjing 210008 China
Abstract：The research status of the operation state maintenance technology of offshore wind turbine main electrical equipment is reviewed. The condition monitoring, condition evaluation and maintenance decision-making technologies are introduced, respectively. Furthermore, the future development direction of condition based maintenance technology for offshore wind turbine electrical equipment is summarized. Through a large number of literature studies, in the aspect of condition monitoring, the electrical state monitoring technology of generator and inverter mainly focuses on the analysis of current characteristics, voltage signal and power analysis. Feature parameters are extracted by signal processing methods such as time domain analysis, Fourier transform and wavelet transform. Compared with the large-scale power transformer on land, the electrical condition monitoring technology based on offshore wind turbine transformer is slightly insufficient, and there are less state parameters that can be used for monitoring and extracting. Compared with the traditional physical model and data analysis, neural network model and fuzzy evaluation are still more effective methods in the aspect of condition evaluation. In terms of maintenance decision-making, it is still depended on the traditional fault tree, Markov process and improved Markov process to make decisions. With the development of technology and the accumulation of operation and maintenance experience, the multi parameter monitoring system, the perfect evaluation standard system of component-system-whole machine, the decision technology of comprehensive opportunity maintenance, combined maintenance and scheduling optimization will become the future development direction of offshore wind turbine operation and maintenance field.
高晨, 赵勇, 汪德良, 成永红, 陈晓路. 海上风电机组电气设备状态检修技术研究现状与展望[J]. 电工技术学报, 2022, 37(zk1): 30-42.
Gao Chen, Zhao Yong, Wang Deliang, Cheng Yonghong, Chen Xiaolu. Research Status and Prospect of Condition Based Maintenance Technology for Offshore Wind Turbine Electrical Equipment. Transactions of China Electrotechnical Society, 2022, 37(zk1): 30-42.
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