Model order reduction of grid connnected inverter model based on system identification

Conference proceedings article

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Publication Details

Author list: Patcharaprakiti N., Thongprong J., Kirtikara K., Saelao J.

Publisher: Hindawi

Publication year: 2012

Start page: 355

End page: 362

Number of pages: 8

ISBN: 9780889869103

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861956265&doi=10.2316%2fP.2012.768-023&partnerID=40&md5=9de6db8f03d3c8afd95c3cff3629dc92

Languages: English-Great Britain (EN-GB)

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Abstract

This paper proposes a model order reduction of photovoltaic grid connected model based on system identification. An experimental setup is performed to collect input-output data for system identification process. A nonlinear model is selected to represent the complex nonlinear behavior of grid connected inverter. The suitable model is obtained by consideration of model accuracy, model order and reasonable characteristics. A nonlinear model is linearized around the operating point with Taylor approximation to state space linear time invariant model. Then, model order reduction techniques is used to minimize a high order linearized model based on Hankel minimum degree approximation and Balanced Truncation via schur method. The suitable reduced order of the model based on Hankel singular values is second order. A comparison between voltage output of both methods to the original model is satisfied.

Keywords

Model order reduction