Modeling of single phase inverter of photovoltaic system using system identification
Conference proceedings article
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Publication Details
Author list: Patcharaprakiti N., Kirtikara K., Chenvidhya D., Monyakul V., Muenpinij B.
Publisher: Hindawi
Publication year: 2010
Start page: 462
End page: 466
Number of pages: 5
ISBN: 9780769540429
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
This paper proposes a new method to modeling a power inverter of grid-connected photovoltaic system by using a system identification approach. In this method, the system is considered as a black box of which it is not necessary to know structures and parameters inside. Modeling of one type of grid connected single phase inverter is carried out. Four linear models have been compared, i.e. an Autoregressive with Exogenous (ARX) model, an Autoregressive Moving Average with Exogenous (ARMAX) model, a Box-Jenkins (BJ) model an Output Error (OE) model. Four nonlinear models are studied, i,e, a Nonlinear Autoregressive with Exogenous (ARX) model, a Hammerstein model, a Wiener Model and a Hammerstein-Wiener Model. The best linear model is an Output Error model whereas the best nonlinear model is a Hammerstein-Wiener model with wavelet network estimators. Comparing modeling of the inverter by an Output-Error (OE) model and a Hammerstein-Wiener model, a Hammerstein-Wiener model is better because of its lower order and higher percentage of best fit. ฉ 2010 IEEE.
Keywords
System identification
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