System identification with cross validation technique for modeling inverter of photovoitaic system
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Author list: Patcharaprakiti N., Kirtikara K., Jivacate C., Sangswang A., Tunlasakun K., Muenpinij B.
Publisher: Hindawi
Publication year: 2010
Start page: 594
End page: 598
Number of pages: 5
ISBN: 9781424481019
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
In this paper, modeling of one type of grid connected single phase inverter commercially available in Thailand is carried out. An inverter of a grid-connected photovoltaic system has been tested and its model determined. The inverter operates in six steady state conditions and its modeling is done using nonlinear system identification approach with Hammerstein Wiener Model. The models with no cross validation and cross validation data of six steady state conditions have been experimented. The results comparison on modeling by using cross validation and no cross validation data has been analyzed by model order, model accuracies and model error. The average percentage accuracy of system identification with cross validation data and no cross validation is 81.89 and 63.83 respectively. ฉ 2010 IEEE.
Keywords
Cross validation
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