| 引用本文: | 刘 军,安柏任,张维博,甘乾煜.大型风力发电机组健康状态评价综述[J].电力系统保护与控制,2023,51(1):176-187.[点击复制] |
| LIU Jun,AN Bairen,ZHANG Weibo,GAN Qianyu.Review of health status evaluation of large wind turbines[J].Power System Protection and Control,2023,51(1):176-187[点击复制] |
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| 摘要: |
| 采用合理的方法进行风电机组健康状态评价对于分配风电场功率，减少运维成本，延长风电机组使用寿命有着重要意义。随着装机容量的增长，风电机组健康状态评价引起了国内外学者的广泛关注。目前健康状态评价方法较为繁杂，且对于风电机组健康状态评价方法的总结归纳较少。因此，基于现有研究成果，对风电机组健康状态评价的现状进行梳理。首先，介绍了风电机组健康状态评价的方法，并对已有方法进行分类，分析了其优缺点。其次，介绍了风电机组健康状态评价的数据来源及描述其健康程度的指标。最后，从健康状态评价的数据分析、机组健康状态与控制的相互影响、整机的健康状态评价及预测等方面提出未来可研究的要点。 |
| 关键词: 风电机组 健康状态 监测数据 运维成本 |
| DOI：10.19783/j.cnki.pspc.220373 |
| 投稿时间：2022-03-21修订日期：2022-06-24 |
| 基金项目:陕西省重点研发计划项目资助(2021GY-106); 陕西省教育厅科研项目资助(JK725) |
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| Review of health status evaluation of large wind turbines |
| LIU Jun,AN Bairen,ZHANG Weibo,GAN Qianyu |
| (College of Automation, Xi’an University of Technology, Xi’an 710048, China) |
| Abstract: |
| Having a good evaluation of the health status of wind turbines is of great significance for distributing wind farm power, reducing operational and maintenance costs and prolonging the service life of wind turbines. With the growth of installed capacity, health status evaluation has attracted extensive attention. There is a complexity of health status evaluation methods, and this may be the reason that there are few summaries of wind turbine health status evaluation methods. Therefore, based on existing research results, this paper combs the literature to assess the current situation of wind turbine health status evaluation. First, this paper introduces the methods, classifies the existing methods, and analyzes their advantages and disadvantages. Second, it introduces a data source of wind turbine health status evaluation and the indicators describing its health degree. Finally, it puts forward the key points for future feasibility study from the aspects of data analysis of health status evaluation, the interaction between unit health status and control, and the health status evaluation and prediction of the whole machine.
This work is supported by the Key Research and Development Projects of Shaanxi Province (No. 2021GY-106). |
| Key words: wind turbine health status monitoring data operation and maintenance cost |
