Design and Construction of a Prototype Arduino-Based Fault Detection System for the Agu-Awka 132 KV Transmission Line Using GSM Feedback

High-voltage transmission systems should be reliable, which can influence the stability of power systems and limit interruptions to energy supply. The Agu-Awka Transmission Company of Nigeria (TCN) substation has an installed capacity of 2 × 60 MVA at 132/33 kV that links the Onitsha–Enugu transmission corridor to the Awka distribution network. Frequent faults such as single-line-to-ground, double-line, and three-phase short circuits within this corridor often result in prolonged outages and equipment damage due to delayed fault detection and reporting. This paper presents the design and construction of a prototype Arduino-based fault detection system for the Agu-Awka 132 kV transmission line with GSM feedback. The system is designed using current and voltage sensors interfaced with ATmega328p microcontroller to monitor line parameters continuously. When the system detects an abnormal condition beyond a specified limit, it gives a signal to isolate the affected phase through the relay. SMS is sent to the control room for corrective action. Results demonstrate fast detection, accurate fault phase identification, and reliable GSM feedback transmission. This low-cost, scalable solution provides a foundation for smart fault monitoring in Nigeria’s high-voltage transmission network, enhancing operational reliability and reducing downtime across substations such as Agu-Awka.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-11-28
DOI
https://doi.org/10.64388/irev9i5-1712302
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Construction of a Prototype Arduino-Based Fault Detection System for the Agu-Awka 132 KV Transmission Line Using GSM Feedback

Iconic Research and Engineering Journals
Power System Optimization and Stability
article

Design and Construction of a Prototype Arduino-Based Fault Detection System for the Agu-Awka 132 KV Transmission Line Using GSM Feedback

article en

Abstract

High-voltage transmission systems should be reliable, which can influence the stability of power systems and limit interruptions to energy supply. The Agu-Awka Transmission Company of Nigeria (TCN) substation has an installed capacity of 2 × 60 MVA at 132/33 kV that links the Onitsha–Enugu transmission corridor to the Awka distribution network. Frequent faults such as single-line-to-ground, double-line, and three-phase short circuits within this corridor often result in prolonged outages and equipment damage due to delayed fault detection and reporting. This paper presents the design and construction of a prototype Arduino-based fault detection system for the Agu-Awka 132 kV transmission line with GSM feedback. The system is designed using current and voltage sensors interfaced with ATmega328p microcontroller to monitor line parameters continuously. When the system detects an abnormal condition beyond a specified limit, it gives a signal to isolate the affected phase through the relay. SMS is sent to the control room for corrective action. Results demonstrate fast detection, accurate fault phase identification, and reliable GSM feedback transmission. This low-cost, scalable solution provides a foundation for smart fault monitoring in Nigeria’s high-voltage transmission network, enhancing operational reliability and reducing downtime across substations such as Agu-Awka.

Iconic Research and Engineering JournalsVol. 9(5)
Affordable and clean energy
Openalex Percentile: Top 47%
Power System Optimization and Stability
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.