Research on Uninterruptible Maintenance Technology for AC/DC Power Supply Systems

With the advancement of smart grid technologies, substation AC/DC power supply systems have emerged as critical components for ensuring grid reliability and efficiency. The digitalization, programmability, and intelligence of these systems represent a key industry trend. This paper presents an online condition-based maintenance (CBM) framework for smart substation AC/DC power systems, integrating multi-source data sensing, intelligent diagnostics, and remote collaboration. The proposed system leverages advanced sensor networks, edge computing, and cloud platforms to enable real-time equipment monitoring, fault prediction, and autonomous decision-making. Key innovations include a modular DC power system design, instantaneous feeder short-circuit isolation, and fully automated battery health management, addressing challenges such as sustained overloads and online capacity verification. Experimental results show that the system enhances operational efficiency and fault response speed by over 30%, reduces manual intervention costs, and provides robust technical support for sustainable smart substation development.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11040395
Primary Topic
High-Voltage Power Transmission Systems
Type
article
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article

Research on Uninterruptible Maintenance Technology for AC/DC Power Supply Systems

Dailin Li, Yang Qi, Nan Huang, Mei Yu et al.
High-Voltage Power Transmission Systems
article

Research on Uninterruptible Maintenance Technology for AC/DC Power Supply Systems

Dailin Li, Yang Qi, Nan Huang, Mei Yu, Yannan Jiao
article en

Abstract

With the advancement of smart grid technologies, substation AC/DC power supply systems have emerged as critical components for ensuring grid reliability and efficiency. The digitalization, programmability, and intelligence of these systems represent a key industry trend. This paper presents an online condition-based maintenance (CBM) framework for smart substation AC/DC power systems, integrating multi-source data sensing, intelligent diagnostics, and remote collaboration. The proposed system leverages advanced sensor networks, edge computing, and cloud platforms to enable real-time equipment monitoring, fault prediction, and autonomous decision-making. Key innovations include a modular DC power system design, instantaneous feeder short-circuit isolation, and fully automated battery health management, addressing challenges such as sustained overloads and online capacity verification. Experimental results show that the system enhances operational efficiency and fault response speed by over 30%, reduces manual intervention costs, and provides robust technical support for sustainable smart substation development.

China Three Gorges University (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
High-Voltage Power Transmission Systems
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Research on Uninterruptible Maintenance Technology for AC/DC Power Supply Systems — Dailin Li, Yang Qi, et al. · (2025) | TGRS Research Map | TGRS