Digital twin system of a wind turbine

被引：0
|
作者：
Fang F. [1 ,2 ]
Yao G. [1 ]
Hu Y. [1 ,2 ]
Wu X. [3 ]
Liu J. [1 ,4 ]
机构：
[1] School of Control and Computer Engineering, North China Electric Power University, Beijing
[2] Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, Beijing
[3] Beijing Zhanwei Technology Co. Ltd., Beijing
[4] State Key Laboratory of Alternate Electrical Power System with Renewable Sources, Beijing
来源：
Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica | 2022年 / 52卷 / 10期
关键词：
cyber physical system; digital twin; hybrid modeling; wind power generation;
D O I：
10.1360/SST-2021-0076
中图分类号：
学科分类号：
摘要：
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. © 2022 Chinese Academy of Sciences. All rights reserved.
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页码：1582 / 1594
页数：12
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