An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation

Leony O. Matos, Luis B. Gutierrez, Jorge W.G. Sanchez, Alexander A. Tellez

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

9 Citas (Scopus)

Resumen

In this article, a new algorithm is developed for the identification of an AC/DC Microgrid (MG) using methods of 'Auto-Regressive with eXogenous inputs (ARX)' and Petri Nets (PN). An algorithm is shown in order to obtain a model of Distributed Generation (DG) systems for a MG. This algorithm aims to obtain a bank of models in which each model is obtained through the identification of a different point of operation. This method facilitates the identification of dynamic non-linear systems associated with MG systems. During the development of this research, a bank of models for converter systems are obtained in state space which reflect the nonlinear dynamic properties of the systems and converters that compose an AC/DC MG.

Idioma originalInglés
Título de la publicación alojada4th IEEE Colombian Conference on Automatic Control
Subtítulo de la publicación alojadaAutomatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
EditoresJose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538669624
DOI
EstadoPublicada - oct. 2019
Evento4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia
Duración: 15 oct. 201918 oct. 2019

Serie de la publicación

Nombre4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

Conferencia

Conferencia4th IEEE Colombian Conference on Automatic Control, CCAC 2019
País/TerritorioColombia
CiudadMedellin
Período15/10/1918/10/19

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Publisher Copyright:
© 2019 IEEE.

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