Grid Alert Fault Detection Using IOT – LoRa WAN

The research paper presents an improved fault detection and monitoring system for power distribution systems, with a focus on enhancing reliability and efficiency. The system builds upon established principles in fault detection, as well as insights from recent advancements in IoT and LoRa WAN technology. Power distribution systems face challenges related to transient stability, supply disturbances, and fault detection, particularly in regions with infrastructure limitations. The study introduces a solution that leverages loT devices to enable real-time fault detection and location determination in medium and low-voltage distribution networks. The system's ability to rapidly generate alerts upon fault occurrence facilitates swift corrective actions, thereby minimizing downtime and enhancing the dependability of power delivery. Additionally, the proposed solution is designed to address cost constraints commonly encountered in developing countries, making it a practical and cost-effective option for modernizing existing power grids. The research represents a step towards improving power distribution management, offering network operators an effective means to monitor and manage distribution networks over extended distances, resulting in a more reliable electricity supply.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910730
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Grid Alert Fault Detection Using IOT – LoRa WAN

Pallavi Giri, Amjad Omar Safori, Pradeep Sudhakaran, S. Ravi et al.
IoT and GPS-based Vehicle Safety Systems
article

Grid Alert Fault Detection Using IOT – LoRa WAN

Pallavi Giri, Amjad Omar Safori, Pradeep Sudhakaran, S. Ravi, G. Ramya
article en

Abstract

The research paper presents an improved fault detection and monitoring system for power distribution systems, with a focus on enhancing reliability and efficiency. The system builds upon established principles in fault detection, as well as insights from recent advancements in IoT and LoRa WAN technology. Power distribution systems face challenges related to transient stability, supply disturbances, and fault detection, particularly in regions with infrastructure limitations. The study introduces a solution that leverages loT devices to enable real-time fault detection and location determination in medium and low-voltage distribution networks. The system's ability to rapidly generate alerts upon fault occurrence facilitates swift corrective actions, thereby minimizing downtime and enhancing the dependability of power delivery. Additionally, the proposed solution is designed to address cost constraints commonly encountered in developing countries, making it a practical and cost-effective option for modernizing existing power grids. The research represents a step towards improving power distribution management, offering network operators an effective means to monitor and manage distribution networks over extended distances, resulting in a more reliable electricity supply.

SRM Institute of Science and Technology (IN), Zarqa University (JO), University of Business and Technology (SA), Institute of Science and Technology, Saveetha University (IN)
Climate action
Openalex Percentile: Top 72%
IoT and GPS-based Vehicle Safety Systems
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.