Carbon Footprint Analysis and Low-carbon Optimization Method Simulation Study of Power Transformer Based on Digital Twin Technology

Authors

Dongxue Li, Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China
Yan Liu, Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China
Boyao Shen, Research Institute of Transmission and Transformation Technology, Shenyang University of Technology, Shenyang 110016, China
Yongteng Jing, Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China
Qiang Ma, Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China
Ran Liu, Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China

Abstract

Abstract: Power transformers are the main energy-consuming equipment for substations. According to the goal of “carbon peak, carbon neutralization” in China, it is of great significance to accurately calculate the carbon footprint of transformers and seek low-carbon optimization methods. A method for constructing a digital twin model of power transformer magnetic characteristics is proposed. Based on the three-dimensional electromagnetic time-harmonic field finite element analysis method, a threedimensional model of SZ11-31.5MVA/66kV power transformer is established. The transformer loss map is obtained under fluctuating load condition, and the transformer digital twin model is constructed. The carbon footprint of the transformer is analyzed, the economic load coefficient of the transformer is determined, and the optimal economic operation mode of the substation is established. The low carbon optimization is carried out by installing magnetic shunt, and the carbon emission is reduced by 4.75% under rated condition. Through experimental calculation, the relative error between the model prediction and the actual simulation is less than 5%. This method can provide a scientific basis for the construction of substation with digital, low carbon and energy saving.

Recommended Citation

Li, Dongxue; Liu, Yan; Shen, Boyao; Jing, Yongteng; Ma, Qiang; and Liu, Ran (2024) "Carbon Footprint Analysis and Low-carbon Optimization Method Simulation Study of Power Transformer Based on Digital Twin Technology," Journal of System Simulation: Vol. 36: Iss. 9, Article 9.
DOI: 10.16182/j.issn1004731x.joss.23-0605
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss9/9

First Page

2075

Last Page

2085

CLC

TM 41; TP391

Recommended Citation

Li Dongxue, Liu Yan, Shen Boyao, et al. Carbon Footprint Analysis and Low-carbon Optimization Method Simulation Study of Power Transformer Based on Digital Twin Technology[J]. Journal of System Simulation, 2024, 36(9): 2075-2085.

Corresponding Author

Shen Boyao

DOI

10.16182/j.issn1004731x.joss.23-0605