Non-linear Identification Strategy for Distributed Generation Sources Electronically Coupled to AC/DC Microgrids Based on NARX

Abstract:

In this article, is proposed an algorithm for the non-linear dynamic identification of distributed generation sources coupled electronically to electrical hybrid AC/DC Microgrids (MRs). The proposed algorithm applies system identification tools by NARX to obtain a non-linear model of the plant under study. The results obtained from the model are validated by observing the dynamic response of the outputs (V and i) obtained. The great similarity between the data obtained and the application of the NARX model confirms that the proposed algorithm will serve to obtain non-linear models of the distributed generation sources associated AC/ DC MRs. Are verified and analyzed the results by a digital simulation in Matlab.

Año de publicación:

2022

Keywords:

• distributed generation
• Nonlinear Identification
• Non-linear systems
• AC/DC microgrids
• NARX model

Fuente:

scopus