电工技术学报  2022, Vol. 37 Issue (zk1): 30-42    DOI: 10.19595/j.cnki.1000-6753.tces.L90275
电机及其系统 |
海上风电机组电气设备状态检修技术研究现状与展望
高晨1, 赵勇1, 汪德良2, 成永红3, 陈晓路4
1.西安热工研究院有限公司 西安 710032;
2.中国华能集团有限公司湖南分公司 长沙 410000;
3.西安交通大学 西安 710049;
4.华能国际电力股份有限公司江苏清洁能源分公司 南京 210008
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
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摘要 该文阐述了海上风力发电机组主要电气设备运行状态检修技术研究现状,分别介绍了状态监测、状态评价以及检修决策等,对未来海上风力发电机组电气设备状态检修技术发展方向进行了概述。通过大量文献研究表明,状态监测方面,发电机与变频器电气状态监测技术主要还是集中在电流特征分析、电压信号分析、功率分析等电气信号分析手段;通过时域、傅里叶变换、小波变换等信号处理手段提取特征参量;基于箱式变压器的电气状态监测技术相比于陆上大型电力变压器略显不足,可用于监测提取的状态参量较少。状态评价方面,相比于传统的物理模型与数据分析,神经网络模型与模糊评价仍是目前比较有效的方法。检修决策方面,目前更多的还是依靠传统的故障树以及马尔可夫、改进马尔可夫过程。伴随着技术进步与运维工作经验积累,多参量监测系统、部件-系统-整机的完善评价标准体系、综合机会检修、组合检修与排程优化的决策技术将成为海上风力发电机组运维领域未来发展的方向。
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高晨
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成永红
陈晓路
关键词 海上风力发电机组电气设备状态监测状态评价状态检修    
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.
Key wordsOffshore wind turbine    electrical equipment    condition monitoring    condition evaluation    condition based maintenance   
收稿日期: 2020-07-07     
PACS: TM614  
基金资助:中国华能集团总部科技项目资助(HNKJ19-H16)
通讯作者: 高 晨 男,1991 年生,博士,研究方向为海上风力发电状态检修。E-mail:gaochen@tpri.com.cn   
作者简介: 赵 勇 男,1978 年生,研究员,研究方向为风电、光伏、高压电气等设备质量监督、检测和故障诊断等。E-mail:zhaoyong@tpri.com.cn
引用本文:   
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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