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.

Año de publicación:

2019

Keywords:

• State space model
• microgrid
• ARX
• identification
• No-lineal systems
• Petri net

Fuente:

google

scopus