Dynamic Digital Twin Modelling and Semi-Physical Simulation of Wind Turbine Operation

Authors

Yang Hu, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, ChinaFollow
Weiran Wang, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Fang Fang, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, China
Ziqiu Song, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Yuhan Xu, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, ChinaFollow
Jizhen Liu, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, China

Abstract

Abstract: For the accurate mapping and real-time simulation requirements proposed by digital twin technology, a multi-input multi-output (MIMO) finite difference domain-hybrid semi-mechanical (FDDHSM) digital twin modeling method is proposed, and a semi-physical simulation system of wind turbine digital twin with physical controller is established for the complex nonlinear operation characteristics of large wind turbines. The integrated dynamic MIMO-FDD-HSM model structure is constructed. Finite difference regression vectors are defined to characterize the operating conditions of the wind turbine, and finite difference space tight convex partitioning, parametric model identification, and non-parametric model training are completed under full operating conditions. The wind turbine digital twin simulation system is built in conjunction with the physical controller to carry out real-time hardware-in-the-loop simulation. The results show that the simulation system has high accuracy and real-time approximation capability.

Recommended Citation

Hu, Yang; Wang, Weiran; Fang, Fang; Song, Ziqiu; Xu, Yuhan; and Liu, Jizhen (2024) "Dynamic Digital Twin Modelling and Semi-Physical Simulation of Wind Turbine Operation," Journal of System Simulation: Vol. 36: Iss. 3, Article 9.
DOI: 10.16182/j.issn1004731x.joss.22-1307
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss3/9

First Page

636

Last Page

648

CLC

TP391.9

Recommended Citation

Hu Yang, Wang Weiran, Fang Fang, et al. Dynamic Digital Twin Modelling and Semi-Physical Simulation of Wind Turbine Operation[J]. Journal of System Simulation, 2024, 36(3): 636-648.

Corresponding Author

Xu Yuhan

DOI

10.16182/j.issn1004731x.joss.22-1307