Autonomous Lightning Strike Detection and Counting System Using Rogowski Coil Current Measurement

Lightning strikes are a leading cause of outages on overhead transmission lines, significantly compromising power system reliability. Consequently, monitoring lightning activity is critical to mitigate its impact on lines with high outage rates. This study presents an autonomous lightning strike counter system utilizing a split-core Rogowski coil for non-invasive current measurement on transmission towers. The system combines the Rogowski coil with an active integrator circuit to reconstruct the incident current waveform from the coil voltage signal. A microcontroller-based processing unit records strike occurrences and classifies them by amplitude using predefined thresholds. Laboratory tests were carried out to evaluate the performance of the Rogowski coil and integrator circuit, validating the system accuracy in detecting current pulses associated with lightning strikes. Underway field tests will assess the sensor's reliability during long-term autonomous operation on 345-kV transmission towers. The results demonstrate that the proposed system represents a practical and cost-effective solution for lightning monitoring in remote areas, contributing to enhanced data collection for engineering studies and improved reliability of electrical infrastructure.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-04-18
DOI
https://doi.org/10.3390/s25082563
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous Lightning Strike Detection and Counting System Using Rogowski Coil Current Measurement

Antonio Francisco Leite Neto, Arthur Francisco Andrade, Eden Luiz Carvalho, Edson Guedes da Costa et al.
Sensors
Magnetic Field Sensors Techniques
article

Autonomous Lightning Strike Detection and Counting System Using Rogowski Coil Current Measurement

Antonio Francisco Leite Neto, Arthur Francisco Andrade, Eden Luiz Carvalho, Edson Guedes da Costa, Ronimack Trajano de Souza, Newton Fonseca, Giovanny M. B. Galdino
article en

Abstract

Lightning strikes are a leading cause of outages on overhead transmission lines, significantly compromising power system reliability. Consequently, monitoring lightning activity is critical to mitigate its impact on lines with high outage rates. This study presents an autonomous lightning strike counter system utilizing a split-core Rogowski coil for non-invasive current measurement on transmission towers. The system combines the Rogowski coil with an active integrator circuit to reconstruct the incident current waveform from the coil voltage signal. A microcontroller-based processing unit records strike occurrences and classifies them by amplitude using predefined thresholds. Laboratory tests were carried out to evaluate the performance of the Rogowski coil and integrator circuit, validating the system accuracy in detecting current pulses associated with lightning strikes. Underway field tests will assess the sensor's reliability during long-term autonomous operation on 345-kV transmission towers. The results demonstrate that the proposed system represents a practical and cost-effective solution for lightning monitoring in remote areas, contributing to enhanced data collection for engineering studies and improved reliability of electrical infrastructure.

SensorsVol. 25(8)
Eletrobras (Brazil) (BR), Universidade Federal do Rio Grande do Norte (BR), Universidade Federal de Campina Grande (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Agência Nacional de Energia Elétrica
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Magnetic Field Sensors Techniques
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.