摘要
规模化并网风电是我国构建以新能源为主体的新型电力系统的主力电源,其智能化水平直接影响未来电力系统的安全、高效、经济运行.本文引入信息-物理实时映射思想,首次构建并实现了风力发电机组的数字孪生系统.设计了数字孪生系统整体架构,综合机理与数据方法搭建了各子系统实时动态模型;通过对数据信息流的有效组织,解决了风电机组和数字孪生系统之间的数据实时通信、精准映射及可视化呈现问题;应用多模型数字线程交互技术,实现了对风电机组整机动态载荷的实时模拟;通过与在役风电机组实际运行数据的量化对比,验证了该数字孪生系统的实时性与模型精度,探讨了其未来应用场景及功能拓展方向.
Large-scale grid-connected wind farms have dominated China’s new power system, which is primarily based on renewable energy sources, and their intelligence level has a direct impact on the safety, efficiency, and economy of the power system operation. For the first time, a digital twin system for a wind turbine is constructed and implemented using the concept of cyberphysical-based real-time mapping. The overall architecture of a digital twin system is designed;real-time dynamic models of each subsystem are built using a combination of the physical-based methods and data-driven approaches;and real-time communication, accurate mapping, and visualization between the physical wind turbine and digital twin models are realized through effective organization of data information flow. Real-time dynamic load simulation of the entire wind turbine is enabled by multimodel digital thread interaction,and the digital twin system’s real-time performance and accuracy are verified by comparing simulation data with operating data from the corresponding physical wind turbine. The future application scenarios and function development of the developed digital wind turbine twin system are also discussed.
作者
房方
姚贵山
胡阳
吴旭涛
刘吉臻
FANG Fang;YAO GuiShan;HU Yang;WU XuTao;LIU JiZhen(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;Key Laboratory of Power Station Energy Transfer Conversion and System,Ministry of Education,Beijing 102206,China;Beijing Zhanwei Technology Co.Ltd.,Beijing 102206,China;State Key Laboratory of Alternate Electrical Power System with Renewable Sources,Beijing 102206,China)
出处
《中国科学：技术科学》
EI
CSCD
北大核心
2022年第10期1582-1594,共13页
Scientia Sinica(Technologica)
基金
国家重点研发计划(编号:2020YFB1506602)
华能集团总部科技项目(编号:HNKJ20-H88)资助。
关键词
风力发电
数字孪生
复合建模
信息-物理系统
wind power generation
digital twin
hybrid modeling
cyber physical system
作者简介
房方,E-mail:ffang@ncepu.edu.cn。
