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

doi:10.1109/CCAC.2019.8921191

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

Grupo de Investigación en Redes Eléctricas Inteligentes (GIREI)

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

10 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 original	Inglés
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	https://doi.org/10.1109/CCAC.2019.8921191
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

Conferencia

Conferencia	4th IEEE Colombian Conference on Automatic Control, CCAC 2019
País/Territorio	Colombia
Ciudad	Medellin
Período	15/10/19 → 18/10/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Acceder al documento

10.1109/CCAC.2019.8921191

Otros archivos y enlaces

https://www.scopus.com/pages/publications/85077953970

Óptima Operación y Tolerancia a Fallos de Microrredes Híbridas AC/DC Basada en Estrategias Multicriterio de Regulación y Control
Aguila Tellez, A. (Investigador Secundario), Ortiz Matos, L. (Investigador principal), Gaybor Alban, J. C. (Estudiante Investigador), Guachamin Bustillos, D. R. (Estudiante Investigador), Tipanluisa Sarchi, W. B. (Estudiante Investigador), Paredes Miranda, C. D. (Estudiante Investigador), Freire Piedra, S. I. (Estudiante Investigador), Falcon Ayala, A. F. (Estudiante Investigador) & Garrido Jacome, S. X. (Estudiante Investigador)
17/03/19 → 17/03/20
Proyecto: Investigación y Desarrollo

Citar esto

Matos, L. O., Gutierrez, L. B., Sanchez, J. W. G., & Tellez, A. A. (2019). An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. En J. Garcia-Tirado, D. Munoz-Durango, H. Alvarez, & H. Botero-Castro (Eds.), 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings Artículo 8921191 (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCAC.2019.8921191

Matos, Leony O. ; Gutierrez, Luis B. ; Sanchez, Jorge W.G. et al. / An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. editor / Jose Garcia-Tirado ; Diego Munoz-Durango ; Hernan Alvarez ; Hector Botero-Castro. Institute of Electrical and Electronics Engineers Inc., 2019. (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings).

@inproceedings{41659d0f5f344f3988815ec7e0a7a4c6,

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

abstract = "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.",

keywords = "ARX, Identification, Microgrid, No-lineal systems, Petri Net, State Space Model",

author = "Matos, \{Leony O.\} and Gutierrez, \{Luis B.\} and Sanchez, \{Jorge W.G.\} and Tellez, \{Alexander A.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE Colombian Conference on Automatic Control, CCAC 2019 ; Conference date: 15-10-2019 Through 18-10-2019",

year = "2019",

month = oct,

doi = "10.1109/CCAC.2019.8921191",

language = "English",

series = "4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Matos, LO, Gutierrez, LB, Sanchez, JWG & Tellez, AA 2019, An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. En J Garcia-Tirado, D Munoz-Durango, H Alvarez & H Botero-Castro (eds.), 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings., 8921191, 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 4th IEEE Colombian Conference on Automatic Control, CCAC 2019, Medellin, Colombia, 15/10/19. https://doi.org/10.1109/CCAC.2019.8921191

An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. / Matos, Leony O.; Gutierrez, Luis B.; Sanchez, Jorge W.G. et al.
4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. ed. / Jose Garcia-Tirado; Diego Munoz-Durango; Hernan Alvarez; Hector Botero-Castro. Institute of Electrical and Electronics Engineers Inc., 2019. 8921191 (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings).

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

TY - GEN

T1 - An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation

AU - Matos, Leony O.

AU - Gutierrez, Luis B.

AU - Sanchez, Jorge W.G.

AU - Tellez, Alexander A.

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - ARX

KW - Identification

KW - Microgrid

KW - No-lineal systems

KW - Petri Net

KW - State Space Model

UR - https://www.scopus.com/pages/publications/85077953970

U2 - 10.1109/CCAC.2019.8921191

DO - 10.1109/CCAC.2019.8921191

M3 - Conference contribution

AN - SCOPUS:85077953970

T3 - 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

BT - 4th IEEE Colombian Conference on Automatic Control

A2 - Garcia-Tirado, Jose

A2 - Munoz-Durango, Diego

A2 - Alvarez, Hernan

A2 - Botero-Castro, Hector

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE Colombian Conference on Automatic Control, CCAC 2019

Y2 - 15 October 2019 through 18 October 2019

ER -

Matos LO, Gutierrez LB, Sanchez JWG, Tellez AA. An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. En Garcia-Tirado J, Munoz-Durango D, Alvarez H, Botero-Castro H, editores, 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8921191. (4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings). doi: 10.1109/CCAC.2019.8921191

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

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Proyectos

Óptima Operación y Tolerancia a Fallos de Microrredes Híbridas AC/DC Basada en Estrategias Multicriterio de Regulación y Control

Citar esto