Modeling of single phase inverter of photovoltaic system using Hammerstein-Wiener nonlinear system identification
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Author list: Patcharaprakiti N., Kirtikara K., Monyakul V., Chenvidhya D., Thongpron J., Sangswang A., Muenpinij B.
Publisher: Elsevier
Publication year: 2010
Volume number: 10
Issue number: SUPPL. 3
Start page: S532
End page: S536
ISSN: 1567-1739
Languages: English-Great Britain (EN-GB)
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Abstract
This paper proposes a new method to modeling a power inverter of grid-connected photovoltaic system by using a nonlinear system identification technique based on the Hammerstein-Weiner model. In this method, the system is considered as a black box of which it is not necessary to know structures and parameters inside. A nonlinear system identification, which is composed of nonlinear blocks and linear blocks, has been processed and synthesized yielding the modeling from only measured inputs and outputs of the system. An inverter of a grid-connected photovoltaic system has been tested and its model determined. Results on modeling the voltage, current and power waveforms have accuracies of 98.13%, 95.02% and 91.05% respectively. The mathematical model being the representation of the system can be analyzed and provide characteristics on controllability, stability, power quality, power flow. ฉ 2010 Elsevier B.V. All rights reserved.
Keywords
Hammerstein-Wiener model, Nonlinear system identification, Power inverter
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