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

Research Group on Smart Electrical Grids (GIREI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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.

Original language	English
Title of host publication	4th IEEE Colombian Conference on Automatic Control
Subtitle of host publication	Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
Editors	Jose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538669624
DOIs	https://doi.org/10.1109/CCAC.2019.8921191
State	Published - Oct 2019
Event	4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia Duration: 15 Oct 2019 → 18 Oct 2019

Publication series

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

Conference

Conference	4th IEEE Colombian Conference on Automatic Control, CCAC 2019
Country/Territory	Colombia
City	Medellin
Period	15/10/19 → 18/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

ARX
Identification
Microgrid
No-lineal systems
Petri Net
State Space Model

Access to Document

10.1109/CCAC.2019.8921191

Cite this

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. In 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 Article 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.",

editor = "Jose Garcia-Tirado and Diego Munoz-Durango and Hernan Alvarez and Hector Botero-Castro",

booktitle = "4th IEEE Colombian Conference on Automatic Control",

address = "United States",

}

Matos, LO, Gutierrez, LB, Sanchez, JWG & Tellez, AA 2019, An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - http://www.scopus.com/inward/record.url?scp=85077953970&partnerID=8YFLogxK

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. In Garcia-Tirado J, Munoz-Durango D, Alvarez H, Botero-Castro H, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this