Alternative fault detection method in electrical power systems based on ARMA model

Diego Carrión, Jorge W. González, Gabriel J. López, Idi A. Isaac

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

One of the main elements of electrical power systems is the transmission stage; which is exposed to the occurrence of failures and disturbances; and in case of their presence, it puts the stability, reliability and operation of the system at risk; It can cause damage to equipment in case there is any problem with the performance of the protections. In the present investigation an alternative method is proposed for the detection of faults in the transmission systems based on the analysis of the voltage and current phasors by means of the selfregressive moving average model (ARMA), seeking to improve the safety and reliability of transmission power system. For which an optimal deployment of PMU is necessary that considers contingency restrictions in the power system, so that an estimation of system status can be obtained. To test the proposed method, the IEEE 14-Buses test system was used under different case studies.

Idioma originalInglés
Título de la publicación alojada2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728142302
DOI
EstadoPublicada - dic 2019
Evento2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019 - Medellin, Colombia
Duración: 4 dic 20196 dic 2019

Serie de la publicación

Nombre2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019

Conferencia

Conferencia2019 FISE-IEEE/CIGRE Conference - Living the Energy Transition, FISE/CIGRE 2019
País/TerritorioColombia
CiudadMedellin
Período4/12/196/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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