Research on the Construction and Application of New Distribution Transformer Loss Management System

As population mobility accelerates and the digital economy thrives, China’s power distribution system confronts mounting challenges. Severe load fluctuations and suboptimal utilization of distribution substation equipment, characterized by overloading and underutilization, exacerbate energy waste and operational strain. To address these issues, this paper presents an innovative distribution substation loss management system leveraging big data and artificial intelligence. By integrating intelligent algorithms into a meticulously crafted loss-gain model, the system enables automated monitoring and precise identification of faulty substation equipment. This empowers informed governance decisions, accurate future loss prediction, and comprehensive evaluation of mitigation strategies. Showcasing the theoretical and technological superiority of the new power system, the proposed solution offers significant practical value and broad application potential.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/eee64897.2025.11162839
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
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article

Research on the Construction and Application of New Distribution Transformer Loss Management System

Shibin Chen, Sai Zhang, Jian Wu, Yanxia Chen et al.
Power Systems and Technologies
article

Research on the Construction and Application of New Distribution Transformer Loss Management System

Shibin Chen, Sai Zhang, Jian Wu, Yanxia Chen, Fan Jiang
article en

Abstract

As population mobility accelerates and the digital economy thrives, China’s power distribution system confronts mounting challenges. Severe load fluctuations and suboptimal utilization of distribution substation equipment, characterized by overloading and underutilization, exacerbate energy waste and operational strain. To address these issues, this paper presents an innovative distribution substation loss management system leveraging big data and artificial intelligence. By integrating intelligent algorithms into a meticulously crafted loss-gain model, the system enables automated monitoring and precise identification of faulty substation equipment. This empowers informed governance decisions, accurate future loss prediction, and comprehensive evaluation of mitigation strategies. Showcasing the theoretical and technological superiority of the new power system, the proposed solution offers significant practical value and broad application potential.

Meizu (China) (CN), Shanghai Customs College (CN)
Openalex Percentile: Top 75%
Power Systems and Technologies
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Research on the Construction and Application of New Distribution Transformer Loss Management System — Shibin Chen, Sai Zhang, et al. · (2025) | TGRS Research Map | TGRS