Recursive Subspace-based Model Refinement Method for Digital Twin of Thermal Power Unit

Authors

Yanbo Zhao, School of Automation Science & Engineering, Xi'an Jiaotong University, Xi'an 710049, ChinaFollow
Yuanli Cai, School of Automation Science & Engineering, Xi'an Jiaotong University, Xi'an 710049, ChinaFollow
Huaizhong Hu, School of Automation Science & Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Abstract

Abstract: Due to factors such as simplified assumptions or equipment characteristic deviation, modeling errors are inevitable in the mechanism modeling of thermal power units. To deal with the problem, this paper proposes a novel model refinement method based on recursive subspace for the digital twin of thermal power units. Firstly, the digital twin models are built based on mechanism analysis and combined with small sample data of typical conditions, ensuring interpretability and generalization performance. Secondly, based on the recursive subspace identification method, the refinement model is built and updated online in real time to compensate for the modeling error, improving the prediction accuracy and ensuring the high fidelity of the overall digital twin model. Finally, simulation results validate the effectiveness of the proposed method.

Recommended Citation

Zhao, Yanbo; Cai, Yuanli; and Hu, Huaizhong (2024) "Recursive Subspace-based Model Refinement Method for Digital Twin of Thermal Power Unit," Journal of System Simulation: Vol. 36: Iss. 1, Article 15.
DOI: 10.16182/j.issn1004731x.joss.22-0989
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss1/15

First Page

195

Last Page

202

CLC

TP391.9；TP11

Recommended Citation

Zhao Yanbo, Cai Yuanli, Hu Huaizhong. Recursive Subspace-based Model Refinement Method for Digital Twin of Thermal Power Unit[J]. Journal of System Simulation, 2024, 36(1): 195-202.

Corresponding Author

Cai Yuanli

DOI

10.16182/j.issn1004731x.joss.22-0989