海上风电场维护管理技术研究现状与展望
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摘要
海上风电的运维成本占项目总成本的20%以上,控制运维成本的能力已经成为决定风电场运营效益的关键。探索高效、可行的运维管理技术,是大规模开发海上风电急需研究的课题。针对海上风电场维护管理技术中3个重要研究领域,即海上风电场维护策略、运维路径优化和维护调度决策的研究现状进行了系统综述。针对目前存在的维护策略相对单一、路径优化求解困难以及维护调度决策模型过于理想等问题,提出了未来海上风电维护管理技术的研究趋势:机组不同部件将采用不同维护策略以最小化综合运维成本;海上风电维护模式将朝着运维基地服务风场集群的方向发展;海上风电调度决策模型将采用更加精细化建模方法来满足海上风电的实际需求;结合人工智能、物联网和大数据技术的智能化运维管理技术将成为必然趋势。
The operation and maintenance cost accounts for more than 20% of the lifecycle cost in an offshore wind farm,and minimizing this cost is the primary measure to increase the overall benefits of the wind farm. Therefore, exploring efficient operation and maintenance management technologies is an urgent needed research topic for large-scale development of offshore wind power. In this paper, 3 important fields for offshore wind power maintenance management technologies(i.e., maintenance strategy, operation and maintenance path optimization, and maintenance scheduling) are reviewed. Aiming at current research gaps(e.g., lack of advanced maintenance strategy, lack of path optimization tools and lack of high fidelity maintenance scheduling model), future research trends of offshore wind power maintenance management technologies are prospected: component-specific maintenance strategies will be developed for different wind turbine components to minimize the cost of integrated operation and maintenance; largescale operation and maintenance bases will be developed to provide maintenance services for largescale offshore wind farm cluster;higher fidelity maintenance scheduling models for offshore wind farms will be developed; by integrating the artificial intelligence,internet of things and big data technologies, intelligent operation and maintenance technologies will be developed and applied in offshore wind farms.
The operation and maintenance cost accounts for more than 20% of the lifecycle cost in an offshore wind farm,and minimizing this cost is the primary measure to increase the overall benefits of the wind farm. Therefore, exploring efficient operation and maintenance management technologies is an urgent needed research topic for large-scale development of offshore wind power. In this paper, 3 important fields for offshore wind power maintenance management technologies(i.e., maintenance strategy, operation and maintenance path optimization, and maintenance scheduling) are reviewed. Aiming at current research gaps(e.g., lack of advanced maintenance strategy, lack of path optimization tools and lack of high fidelity maintenance scheduling model), future research trends of offshore wind power maintenance management technologies are prospected: component-specific maintenance strategies will be developed for different wind turbine components to minimize the cost of integrated operation and maintenance; largescale operation and maintenance bases will be developed to provide maintenance services for largescale offshore wind farm cluster;higher fidelity maintenance scheduling models for offshore wind farms will be developed; by integrating the artificial intelligence,internet of things and big data technologies, intelligent operation and maintenance technologies will be developed and applied in offshore wind farms.
引文
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