Improvement of Dynamic Models of Photovoltaic Arrays

Article Preview

Abstract:

The nonlinear characteristic of photovoltaic cell following changes of irradiation and ambient temperature must be solved to research solar energy deeply and to utilize it high-efficiently. For building simple and practical dynamic simulation model and seeking after control strategy for raising out-power, a modified dynamic model of photovoltaic array is developed based on the physical model of photovoltaic cell, in which the voltage and current coefficients about ambient temperature and irradiation are introduced. By the model with stronger applicability and generality, the photovoltaic array I-V characteristic can be simulated arbitrarily with changes of irradiationambient temperaturephotovoltaic module parameter and its combination. The validity of the model is verified by all of the simulation results under Matlab/Simulink.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

761-767

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Viorel Badescu. Dynamic model of a Complex System Including PV Cells, Electric Battery, Electrical Motor and Water Pump [J]. Energy, 2003, 28(12): 1165-1181.

DOI: 10.1016/s0360-5442(03)00115-4

Google Scholar

[2] ZHANG Xing, CAO Renxian. Solar PV grid-connected Inverter control [M]. Beijing: China Machine Press, (2011).

Google Scholar

[3] M. Buresch. Photovoltaic Energy Systems Design and Installation. McGraw-Hill, New York, (1983).

Google Scholar

[4] WANG Liqiao, SUN Xiaofeng. Photovoltaic technology in distributed power generation system [M]. Beijing: China Machine Press, (2010).

Google Scholar

[5] MAO Meiqin, YU Shijie, SU Jianhui. Wind/light study on hybrid power system modeling and simulation based on variable structure [J]. Journal of System Simulation, 2003, 15(3): 361-364.

Google Scholar

[6] XU Dehong. Power electronic systems modeling and control [M]. Beijing: China Machine Press, (2006).

Google Scholar