V. CONCLUSION
In this paper, modeling of one type of grid connected
single phase inverter commercially available in Thailand is
carried out. 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
have been compared. The percentage accuracy of system
identification with cross validation data has more accuracy
than system identification with no cross validation. It can
summarize that the accuracy of model is upon the
performance of model and also the number of data set for
cross validation to cover the situation in the operating range
of inverter both in linear and nonlinear interval.
ACKNOWLEDGMENT
The authors would like to thanks Energy Policy and Plan
Office (EPPO) Ministry of Energy for support research funds.