Contribution to the Determination of the Elements of Photovoltaic Panel (PV) Equivalent Electric Model. Application in the Maximal Power Point (MPP) Available Analytical Expression.

Abstract

$EVWUDFW 7KH DXWKRUV SUHVHQW D PHWKRG RI GHWHUPLQDWLRQ RI WKH SDUDPHWHUV RI WKH PRGHO GLRGHThe majority of simulations of the working point of the PV module are obtained from the electrical equivalent circuit shown in figure n°3. The knowledge of the electrical parameters is essential to predetermine the behaviour of the panels subjected to various irradiation and temperature. However, the manufacturers only give the external PV characteristics and give less information about these parameters. The authors present a simplified graphical method of determination of these parameters. The manufacturing processes induce disparity in the I-V characteristic. This fact it is possible to find an optimal association of PV modules. However, the expression of the power is implicit and can be only obtained by numerical resolution [1] or iterative. So, it is quite difficult to establish the rules of association of PV modules. The authors show that an approximate analytical expression of the maximum power can be deduced from the equivalent electrical circuit. The expression introduces two remarkable factors such as the open circuit voltage (V OC ) and the short-circuit current (I SC ) and also correction factors in order to take into account the various imperfections of the solar cells. (TXLYDOHQW HOHFWULFDO FLUFXLW RI WKH 39 PRGXOHA PV module is an association made of N S photodiodes connected in series to increase the output voltage and N P identical node to increase the available delivered electrical power.

Identification of Photovoltaic Array Model Parameters. Modelling and Experimental Verification

“…The diode current is noted i D . It is function of T, as given in (3). The dark saturation current, i sat , is expressed in (4).…”

“…According to the cell equivalent circuit, an analytical four and fiveparameter PV panel models were deduced and experimentally verified [2]. A simplified graphical method was used in [3]. Other publications use the robust linear regression methods [4] or the artificial neural network [5].…”