| 摘要: |
| 风电运维是海上风电的控制性模块，其成本约占海上风电建设总成本的25%，但目前对风电运维尤其是智能运维的研究与应用呈现双重缺位。文章提出海上风电发展趋势及传统运维痛点，总结海上风电智能运维的重大意义；充分结合工程经验与中外文献，凝炼海上风电智能运维关键技术，阐释其内涵、应用、特点及研究现状，指出相关研究的成果与不足，进而提出数据融合、自主适应、实时监测、无余调配的“集管控”一体化海上智能运维平台方案，并以风场实测数据验证其经济价值；明确风电智能运维的发展趋势，从集成管理、装备赋能、智慧调度、融合开发四大方向，有针对性地给出跨越式提升我国海上风电智能运维水平的发展建议，助力我国风电产业发展水平跻身国际前列。 |
| 关键词: 海上风电 智能运维 降本增效 |
| DOI：10.20016/j.cnki.hykfygl.20230713.001 |
| 投稿时间：2022-09-22修订日期：2023-04-28 |
| 基金项目:漂浮式海上风电与海洋牧场融合关键技术研究项目（粤自然资合[2020]016号）； 深圳市高等院校稳定资助重点项目“海洋浮式风机选址、基础设计和智能运维关键技术研究”（WDZC20200819174646001）；海上风能制氢工程示范项目（粤自然资合[2022]33号）. |
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| Key Technologies and Development Suggestions for Intelligent Operation and Maintenance of Offshore Wind Power |
| CHEN Jinlu,ZHANG Xiangyu,ZHENG Xiangyuan,ZOU Libing,YANG Ruyan |
| Tsinghua Shenzhen International Graduate School;Ming Yang Smart Energy Group Limited |
| Abstract: |
| As the control module for later investment and profit output, the operation and maintenance(O & M) cost of wind power accounts for about 25% of the total cost of offshore wind power construction. However, the research on wind power O & M, especially the intelligent O & M is scarce.This paper put forward the development trend of offshore wind power and the pain points of traditional O & M, and summarized the great significance of intelligent O & M of offshore wind power. Then the paper presented the definition and key technologies of intelligent O & M of offshore wind power through summarizing the current research hotspots, and pointed out the achievements and shortcomings of related research by fully integrating engineering experience and literature. On this basis,a “collective management and control” integrated maritime intelligent O & M platform that integrated data fusion, self-adaptation, real-time monitoring, and unrestricted deployment was advanced and its economic value was verified by the measured data of wind field . Finally, this paper maked clear the development trend of intelligent O & M of wind power from four directions and gave development suggestions for leaping forward to improve the level of that in China. |
| Key words: Offshore wind power,Intelligent operation,Cost reduction |
