A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines

Daniela Mora; Silvana Gamboa; Alberto Sanchez

doi:10.1109/CONCAPANXLI59599.2023.10517550

A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines

Daniela Mora^*
, Silvana Gamboa^*
, Alberto Sanchez

^*Autor correspondiente de este trabajo

Ingeniería Electrónica y Automatización

Escuela Politecnica Nacional

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This work proposes a methodology based on Deep Learning, such as recurrent neural networks (RNN) and long-short-term memory networks (LSTM) to classify faults in transmission lines in power systems. The implemented neural network is trained using data from the measurements of electric currents during the presence of faults that were obtained by simulation. The trained neural network is able to correctly classify faults using the current signature.

Idioma original	Inglés
Título de la publicación alojada	Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350380927
DOI	https://doi.org/10.1109/CONCAPANXLI59599.2023.10517550
Estado	Publicada - 2023
Evento	41st IEEE Central America and Panama Convention, CONCAPAN 2023 - Tegucigalpa, Honduras Duración: 8 nov. 2023 → 10 nov. 2023

Serie de la publicación

Nombre	Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023

Conferencia

Conferencia	41st IEEE Central America and Panama Convention, CONCAPAN 2023
País/Territorio	Honduras
Ciudad	Tegucigalpa
Período	8/11/23 → 10/11/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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10.1109/CONCAPANXLI59599.2023.10517550

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Mora, D., Gamboa, S., & Sanchez, A. (2023). A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines. En Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023 (Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONCAPANXLI59599.2023.10517550

Mora, Daniela ; Gamboa, Silvana ; Sanchez, Alberto. / A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines. Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023).

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title = "A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines",

abstract = "This work proposes a methodology based on Deep Learning, such as recurrent neural networks (RNN) and long-short-term memory networks (LSTM) to classify faults in transmission lines in power systems. The implemented neural network is trained using data from the measurements of electric currents during the presence of faults that were obtained by simulation. The trained neural network is able to correctly classify faults using the current signature.",

keywords = "Deep learning, Electric Current, LSTM, RNN, Transmission Line",

author = "Daniela Mora and Silvana Gamboa and Alberto Sanchez",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 41st IEEE Central America and Panama Convention, CONCAPAN 2023 ; Conference date: 08-11-2023 Through 10-11-2023",

year = "2023",

doi = "10.1109/CONCAPANXLI59599.2023.10517550",

language = "Ingl{\'e}s",

series = "Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023",

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Mora, D, Gamboa, S & Sanchez, A 2023, A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines. En Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023. Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023, Institute of Electrical and Electronics Engineers Inc., 41st IEEE Central America and Panama Convention, CONCAPAN 2023, Tegucigalpa, Honduras, 8/11/23. https://doi.org/10.1109/CONCAPANXLI59599.2023.10517550

A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines. / Mora, Daniela; Gamboa, Silvana; Sanchez, Alberto.
Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines

AU - Mora, Daniela

AU - Gamboa, Silvana

AU - Sanchez, Alberto

PY - 2023

Y1 - 2023

N2 - This work proposes a methodology based on Deep Learning, such as recurrent neural networks (RNN) and long-short-term memory networks (LSTM) to classify faults in transmission lines in power systems. The implemented neural network is trained using data from the measurements of electric currents during the presence of faults that were obtained by simulation. The trained neural network is able to correctly classify faults using the current signature.

AB - This work proposes a methodology based on Deep Learning, such as recurrent neural networks (RNN) and long-short-term memory networks (LSTM) to classify faults in transmission lines in power systems. The implemented neural network is trained using data from the measurements of electric currents during the presence of faults that were obtained by simulation. The trained neural network is able to correctly classify faults using the current signature.

KW - Deep learning

KW - Electric Current

KW - LSTM

KW - RNN

KW - Transmission Line

UR - https://www.scopus.com/pages/publications/85193252130

U2 - 10.1109/CONCAPANXLI59599.2023.10517550

DO - 10.1109/CONCAPANXLI59599.2023.10517550

M3 - Contribución a la conferencia

AN - SCOPUS:85193252130

T3 - Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023

BT - Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 41st IEEE Central America and Panama Convention, CONCAPAN 2023

Y2 - 8 November 2023 through 10 November 2023

ER -

Mora D, Gamboa S, Sanchez A. A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines. En Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceeding of the 2023 IEEE 41st Central America and Panama Convention, CONCAPAN XLI 2023). doi: 10.1109/CONCAPANXLI59599.2023.10517550

A Deep Learning Based Methodology Development for Fault Classification in Transmission Lines

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