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 output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 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 languageEnglish
Title of host publication4th IEEE Colombian Conference on Automatic Control
Subtitle of host publicationAutomatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings
EditorsJose Garcia-Tirado, Diego Munoz-Durango, Hernan Alvarez, Hector Botero-Castro
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669624
DOIs
StatePublished - Oct 2019
Event4th IEEE Colombian Conference on Automatic Control, CCAC 2019 - Medellin, Colombia
Duration: 15 Oct 201918 Oct 2019

Publication series

Name4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings

Conference

Conference4th IEEE Colombian Conference on Automatic Control, CCAC 2019
Country/TerritoryColombia
CityMedellin
Period15/10/1918/10/19

Keywords

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

Fingerprint

Dive into the research topics of 'An ARX-petri nets algorithm for active identification of an AC/DC microgrid simulation'. Together they form a unique fingerprint.

Cite this