Energy consumption monitoring of traction transformer end in rail transit under dual carbon targets

Jie Gao; Shan Lin; Qingning Liang

doi:10.1117/12.3050922

20 January 2025 Energy consumption monitoring of traction transformer end in rail transit under dual carbon targets

Jie Gao, Shan Lin, Qingning Liang

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 1342213 (2025) https://doi.org/10.1117/12.3050922
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

Carbon emissions are a global issue that restricts social development, and the carbon emissions level of the power industry directly affects the achievement of international commitments to carbon reduction. Reducing the energy consumption of rail transit can help optimize the energy structure, reduce greenhouse gas emissions, and contribute to achieving China's dual carbon goals. Therefore, this article proposes a method for monitoring the energy consumption of traction transformers in rail transit under the dual carbon target. A monitoring and control scheme based on microcontroller was studied by analyzing the losses of traction transformers in rail transit. This scheme calculates the load of the transformer through a multifunctional meter, and sets corresponding gear shifting thresholds to adjust the transformer capacity, in order to reduce losses and save energy. After experimental verification, this method has improved the energy-saving effect of traction transformers to a certain extent, while ensuring the stability and reliability of operation, providing useful reference for achieving carbon reduction goals in the field of rail transit.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Gao, Shan Lin, and Qingning Liang "Energy consumption monitoring of traction transformer end in rail transit under dual carbon targets", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 1342213 (20 January 2025); https://doi.org/10.1117/12.3050922

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