Low-Frequency Oscillations Analysis in AC Railway Networks Using Eigenmode Identification

Paul Frutos, Juan Manuel Guerrero, Iker Muniategui, Iban Vicente, Aitor Endemano, Fernando Briz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

Dynamic interactions among AC railway networks and train power converters have been reported to cause low-frequency oscillations (LFO) and eventually instability phenomena, which can collapse the railway power system. Several system parameters can influence the appearance of LFO, including catenary line length, power consumption, control bandwidths, etc. This paper proposes a methodology for the analysis and understanding of the impact of all these parameters on the LFO. The proposed method combines time-domain simulations with eigenvalue analysis. Eigenvalue migration will be shown to be a powerful tool to understand the risk of instability and to analyse potential remedial actions.

Idioma originalInglés
Título de la publicación alojada2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1573-1579
Número de páginas7
ISBN (versión digital)9781728151359
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canadá
Duración: 10 oct. 202114 oct. 2021

Serie de la publicación

Nombre2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conferencia

Conferencia13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
País/TerritorioCanadá
CiudadVirtual, Online
Período10/10/2114/10/21

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