Low Voltage Distribution Network Data Sensing and Fault Analysis System

This paper introduces a sophisticated system designed for the sensing and analysis of faults within low-voltage distribution networks, specifically tailored for the 0.4kV infrastructure. Anchored by the Smart Transformer Terminal Unit (STTU) framework, the system adeptly meets the operational and inspection management demands while upholding stringent information security protocols. The system is adept at capturing operational parameters and performing real-time fault diagnosis on-site for the facilities it monitors. It ensures that the data gathered is securely sent to the power grid company's Internet of Things (IoT) management platform, leveraging a robust 4G APN communication network to maintain data integrity and confidentiality. Through its practical engineering applications, the system has proven instrumental in the efficient monitoring of low-voltage distribution operations and in the precise analysis of power outage causes.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10754465
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low Voltage Distribution Network Data Sensing and Fault Analysis System

Mingyi Qiu, Wenkai Zhao, Yilun Wan, Weihong Zhang et al.
1 citations
Smart Grid and Power Systems
0.21
article

Low Voltage Distribution Network Data Sensing and Fault Analysis System

Mingyi Qiu, Wenkai Zhao, Yilun Wan, Weihong Zhang, Bangpeng Xie, Kai Liu
article en
1 citations

Abstract

This paper introduces a sophisticated system designed for the sensing and analysis of faults within low-voltage distribution networks, specifically tailored for the 0.4kV infrastructure. Anchored by the Smart Transformer Terminal Unit (STTU) framework, the system adeptly meets the operational and inspection management demands while upholding stringent information security protocols. The system is adept at capturing operational parameters and performing real-time fault diagnosis on-site for the facilities it monitors. It ensures that the data gathered is securely sent to the power grid company's Internet of Things (IoT) management platform, leveraging a robust 4G APN communication network to maintain data integrity and confidentiality. Through its practical engineering applications, the system has proven instrumental in the efficient monitoring of low-voltage distribution operations and in the precise analysis of power outage causes.

Shanghai Electric (China) (CN)
Climate action
Openalex Percentile: Top 46%
Smart Grid and Power Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.