2007 IEEE Lausanne Power Tech 2007
DOI: 10.1109/pct.2007.4538457
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Development of Dynamic Equivalents for MicroGrids using System Identification Theory

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Cited by 33 publications
(26 citation statements)
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“…The proposed model focuses on the representation of the dynamic behaviour of microgrids, where transients involved are generally faster and with larger damping, due to the small inertias of the rotating DG units and the resistive behaviour of the microgrids [5], [6], [14]- [16].…”
Section: A Black-box Modelling Fundamentalsmentioning
confidence: 99%
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“…The proposed model focuses on the representation of the dynamic behaviour of microgrids, where transients involved are generally faster and with larger damping, due to the small inertias of the rotating DG units and the resistive behaviour of the microgrids [5], [6], [14]- [16].…”
Section: A Black-box Modelling Fundamentalsmentioning
confidence: 99%
“…Dynamic equivalent models using grey- [14]- [16] and black-box [17]- [21] approaches can overcome the lack of detailed information of the DG unit parameters This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution, and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library, or http://dx.doi.org/10.1049/ietgtd.…”
Section: Introductionmentioning
confidence: 99%
“…In [19] an equivalent model of a microgrid is studied for the dynamic analysis based on an optimization method. In [20] a grey-box and hybrid dynamic equivalent model is proposed for transient power system analysis, and the measurement data of point of common couple (PCC) are collected for the parameter identification.…”
Section: Introductionmentioning
confidence: 99%
“…Instead, it uses only measured input and output waveforms. Many recent research focuses on identification modeling and control for nonlinear systems [35][36][37]. One of the effective identification methods is block oriented nonlinear system identification.…”
Section: Introductionmentioning
confidence: 99%