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 original | Inglés |
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Título de la publicación alojada | 4th IEEE Colombian Conference on Automatic Control |
Subtítulo de la publicación alojada | Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings |
Editores | Jose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
ISBN (versión digital) | 9781538669624 |
DOI | |
Estado | Publicada - oct. 2019 |
Evento | 4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia Duración: 15 oct. 2019 → 18 oct. 2019 |
Serie de la publicación
Nombre | 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings |
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Conferencia
Conferencia | 4th IEEE Colombian Conference on Automatic Control, CCAC 2019 |
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País/Territorio | Colombia |
Ciudad | Medellin |
Período | 15/10/19 → 18/10/19 |
Nota bibliográfica
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