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

Francisco Urguiles; Leony Ortiz; Alexander Aguila

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 Group on Smart Electrical Grids (GIREI)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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 contribution	Non-linear Identification Strategy for Distributed Generation Sources Electronically Coupled to AC/DC Microgrids Based on NARX
Original language	Spanish
Pages (from-to)	576-591
Number of pages	16
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume	2022
Issue number	E48
State	Published - Feb 2022

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

Cite this

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title = "Estrategia de identificaci{\'o}n no-lineal para Fuentes de Generaci{\'o}n Distribuida acopladas electr{\'o}nicamente a Micro-redes en CA/ CC basada en 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.",

keywords = "AC/DC Microgrids, Distributed generation, NARX model, Non-linear systems, Nonlinear identification",

author = "Francisco Urguiles and Leony Ortiz and Alexander Aguila",

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pages = "576--591",

journal = "RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao",

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publisher = "Associacao Iberica de Sistemas e Tecnologias de Informacao (AISTI)",

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Estrategia de identificación no-lineal para Fuentes de Generación Distribuida acopladas electrónicamente a Micro-redes en CA/ CC basada en NARX. / Urguiles, Francisco; Ortiz, Leony ; Aguila, Alexander.
In: RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2022, No. E48, 02.2022, p. 576-591.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Estrategia de identificación no-lineal para Fuentes de Generación Distribuida acopladas electrónicamente a Micro-redes en CA/ CC basada en NARX

AU - Urguiles, Francisco

AU - Ortiz, Leony

AU - Aguila, Alexander

PY - 2022/2

Y1 - 2022/2

N2 - 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.

AB - 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.

KW - AC/DC Microgrids

KW - Distributed generation

KW - NARX model

KW - Non-linear systems

KW - Nonlinear identification

UR - http://www.scopus.com/inward/record.url?scp=85129321983&partnerID=8YFLogxK

M3 - Artículo

AN - SCOPUS:85129321983

SN - 1646-9895

VL - 2022

SP - 576

EP - 591

JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

IS - E48

ER -

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

Abstract

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