Estrategia de identificación no-lineal para Fuentes de Generación Distribuida acopladas electrónicamente a Micro-redes en CA/ CC basada en NARX

Translated title of the contribution: Non-linear Identification Strategy for Distributed Generation Sources Electronically Coupled to AC/DC Microgrids Based on NARX

Francisco Urguiles, Leony Ortiz, Alexander Aguila

Research output: Contribution to journalArticlepeer-review

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.

Translated title of the contributionNon-linear Identification Strategy for Distributed Generation Sources Electronically Coupled to AC/DC Microgrids Based on NARX
Original languageSpanish
Pages (from-to)576-591
Number of pages16
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume2022
Issue numberE48
StatePublished - Feb 2022

Bibliographical note

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© 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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