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International 
OPEN ACCESS Journal 
Of Modern Engineering Research (IJMER) 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 54| 
A Detailed Modelingof a Five Parameters Model for Photovoltaic Modules NouarAoun1, Boukheit Nahman2, Rachid Chenni3, KadaBouchouicha4 1, 2 Departmentof Physics, Constantine 1 University, Algeria 3 MoDERNa Laboratory, Constantine 1 University, Algeria 4Research Unit in Renewebles Energies, URER/MS, Development Centre of Renewable Energies, CDER, Adrar, Algeria. 
I. INTRODUCTION 
The modeling of a photovoltaic module (of a cell) implies mainly the estimate of nonlinear curves IV. Preceding researchers [1], [2], [3] and [4] used topological circuits to model the module characteristics when it is subjected to environmental variations such as illumination and the temperature.By far, the simplest approach is the model with a diode, namely a power source simultaneously with a diode [2], [5] and [6]. In the majority of work of the literature, we find mainly the model equivalent to four parameters based on the mathematical modeling of the curve voltage [1], [3]. The model with four parameters utilizes four parameters, namely: Iph (the photo current), I0 (the saturation current), γ (the factor of the diode ideality) and Rs (resistance series). These parameters are not generally measurable quantities or included in the data of manufacture. Consequently, they must be given starting from anequations system of governing the characteristic IV at various points of operation given by the manufacturer or drawn from the experimental tests. An extension of the model of only one diode, including an additional resistance shuntRsh is proposed by many authors [7]. While adding resistance shunt, the number of parameters is changed to five. The performances of the solar cells are normally evaluated under the standard test condition (STC), where an average solar spectrum with 1,5 AM is used and illumination is standardized with 1000W/m2.As it is shown in Fig.1, the model with only one exponential with a parallel resistance Rsh described by (1) is nonlinear and implicit; therefore, a solution will be determined by iterative methods (Newton-Raphson, Levenberg Marquardt,…etc). In our work, the method of Newton-Raphson was used numerically. 
Fig. 1.Circuit equivalent of the five parameters model The relation current-tension in the conditions (T=25°C, E=1000 W/m2) for the equivalent circuit, fig. 1 is expressed in (1). I=Iph-I0 exp q V+IRs γkT −1 − V+IRsRsh(1) Where q the electronic load, K the Boltzmann constant, T the temperature, γ is the ideality factor, Iph the power source, I0 the reverse current of saturation of the diode, Rs resistance series and Rsh resistance shunt. 
I 
Rs 
Rsh 
D 
Iph 
RL 
V 
Abstract:In the present paper we interested at the parametric characterization of the five parameters model. However, we reductive the system of the three characteristic points under STC in one equation called fRsand one unknown parameter (i.e., Rs). Moreover, we vary with a step of 10-4, the ideality factor γ between 0.0 and 4 for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. Finally, when γ is known the other four parameters (i.e., Rs, I0, Iph and Rsh) are known. The effectiveness of this approach is evaluated through comparison of simulation results to the data provided by product’s manufacturer. 
Keywords:photovoltaic; nonlinear equation; five parameters model.
A Detailed Modeling of a Five Parameters Model for Photovoltaic modules 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 55| 
II. FIVE PARAMETERS MODEL 
The five parameters appearing in (1) corresponding to the conditions standards are:γ, Io, Iph, Rs, and Rsh. These parameters are with starting from the measurement of characteristic I-V for a couple of illumination and reference temperature given to only on nominal database provided by the manufacturer. In general, these five parameters depend on the incidental solar radiation on the cell and on the temperature [8]. Three pairs of parameters of the characteristic voltage are normally provided by the manufacturer (2) to (4): the shortcircuit current Isc, the open circuit voltageVoc and the current and the tension at the maximum powerpoint (i. e., Imp, Vmp), respectively. Fourth information results from the assumption that the derivation of the power at the maximum power point is null. 
 Short-circuit Current: 
Isc=Iph−I0 exp qRsIscγkT −1 − RsIscRsh (2) 
 Open circuitvoltage: 
0=Iph−I0 exp qVocγkT −1 − VocRsh (3) 
 Maximum power point: 
Ip=Iph−I0 exp q Vp+RsIp γkT −1 − Vp+RsIpRsh (4) We obtain the values of four unknown factorIph, I0, Rshand Rsstarting from the system of equations as (5), [11]. However, in [11] the ideality factor supposed as a constant parameter. 0I푠푐 I푝 ∕ 1−C−Voc1−B−RsIsc1−A−Vp−RsIp = IphI01∕Rsh (5) Contrary to the various authors who treated the ideality factor as a constant parameter [9], [10] and [11], we vary with a step of 10-4, the ideality factor γ between 0.0 and 4 for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. Where: A=exp q Vp+RsIp γkT −1(6) B=exp qRsIscγkT −1(7) C=exp qVocγkT −1(8) Iph=det−1 VocIscA−VocIpB−VpIscC (9) Isc=det−1 VocIsc−VocIp−VpIsc (10) Rsh−1=det−1 IscA−IpB− Isc−Ip C (11) The calculation of det is shown in (12): det= Voc−RsIsc A+ −Voc+Vp+RsIp B+ −Vp+Rs Isc−Ip C(12) The derivative of the power at the point of maximum power is null: d IV dV p=Ip−Vp dIdV p=0(13) With dIdV p is given by the following relation: dIdV p= −qI0γkTexpq Vp+IpRs γkT− 1Rsh / 1+ qI0RsγkTexpq Vp+IpRs γkT+ RsRsh (14) The derivative of (1) compared to the voltage can be expressed by: dIdV=− Rs+ qI0γkTexpq V+RsI γkT+ 1Rsh −1 −1(15) We introduce (13) in (15), then we define a function fRs given by:
A Detailed Modeling of a Five Parameters Model for Photovoltaic modules 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 56| 
fRs = Ip − Vp − Rs Ip qI0 
γkT 
exp 
q Vp+Rs Ip 
γkT 
+ 
1 
Rsh 
(16) 
As I0 and Rsh depend on Rs, the functionfRs is also. The resolution of fRs=0 with the algorithm of Newton- 
Raphson implies the calculation of its derivative; that is to say: 
dfRs 
dRs 
= − 
VTIpIsc Vp − Rs Ip A − B 
det 
+ 
1 
Rsh 
IM + 
Vp − Rs Ip 
det 
ddet 
dRs 
+ VT I0exp 
q Vp + Rs Ip 
γkT 
… 
IM 1 − q Vp −Rs Ip 
γkT 
+ 
Vp −Rs Ip 
γkT 
ddet 
dRs 
(17) 
With: 
ddet 
dRs 
= VTIp Voc − Rs Isc − Isc A+ VTIsc 
−Voc + Vp + Rs Ip + Ip B + Isc − Ip C + VT … 
VpIsc − Voc Isc − Ip (18) 
VT = 
q 
γkT 
(19) 
III. RESULTS AND DISCUSSIONS 
The precision of process of modeling described in this document is validated by the parameters of 
datasheet of selected photovoltaic modules.Three modules of different technologies are used for the checking; 
the multi and the single-crystal one like that of thin films type. The characteristics of the modules are 
summarized in Tab. 1. 
TABLE 1. CHARACTERISTICS OF VARIOUS MODULES STUDIED UNDER STC 
BP solar 
MSX-60 
Siemens 
SM55 
Shell 
S36 
Shell 
SP-70 
Shell 
ST40 
multi-crystalline mono-crystalline couche mince 
Isc (A) 3.8 3.45 2.3 4.7 2.68 
Voc (V) 21.1 21.7 21.4 21.4 21.3 
Ip (A) 3.5 3.15 2.18 4.25 2.41 
Vp (V) 17.1 17.4 16.5 16.5 16.6 
We measured the curves voltage and power-voltage of the photovoltaic module for various weather 
conditions (solar illumination and temperature) and we calculated the statistical parameters in order to estimate 
the validity of the model used. Tab. 2 shows calculated parameters for the five parameters model. 
Fig. 2, show the characteristics power-voltage and current-voltage comparison, respectively, of the five 
parameters model and the experimental points extracted from the datasheet for the Solarex MSX60 module at 
various operating temperatures. 
Fig. 2.CurvesI-V and P-V of SOLAREX MSX60 Module in Fixeillumination 1KW/m2. 
0 5 10 15 20 
0 
1 
2 
3 
4 
5 
Tension (V) 
Courant (A) 
5 Paramètres 
Datasheet 
50°C 
25°C 
75°C 
0 5 10 15 20 
0 
10 
20 
30 
40 
50 
60 
70 
Tension (V) 
Puissance (W) 
5 Paramètres 
Datasheet 
25°C 
50°C 
75°C
A Detailed Modeling of a Five Parameters Model for Photovoltaic modules 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 57| 
Fig. 3, show the characteristics power-voltage and current-voltage comparison, respectively, of the five 
parameters model and the experimental points extracted from the datasheet for photovoltaic cell Q6LM at 
various levels of illuminations. 
TABLE 2. ELECTRIC PARAMETERS OF THE MODEL PROPOSES 
BP solar 
MSX-60 
Siemens 
SM55 
Shell 
S36 
Shell 
SP-70 
Shell 
ST40 
multi-crystalline mono-crystalline couche mince 
γ 1.5 1.7 1.2588 1.7 2.097 
Iph (A) 3.8003 3.4503 2.30023 4.7003 2.6804 
I0 (A) 9.4607e-7 3.5065e-6 2.40919e-8 5.7971e-6 1.6315e-5 
Rs (mΩ) 0.0034 0.0036 0.01831 0.0078 0.0257 
Rsh(mΩ) 43.0744 43.7167 179.783 110.6362 215.3892 
We observe on Figs 2 to 3 that the two curves appear identical to the points of standard condition of 
reference. On the other hand, more the temperature and illumination are far away from the standard conditions 
of reference, more there are divergences in the elbow of the curves and at the point of open circuit voltage. 
Fig. 3.Curve P-V of Q6LM Cell in Fixe Temperature 25°C 
The differences between the data of the datasheet and the computed values occur because of the 
limitations in the model of the cells themselves, as well as in the calculating methods [12]. Moreover, there are 
uncertainties inherent in the experimental data. The experimental data points are extracted from datasheet and 
from [2] and [14]. 
Fig4.. Absolute error For Q6LM Cell in 25 °C, 1000 W/m2 
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 
0 
1 
2 
3 
4 
5 
6 
7 
8 
9 
Tension (V) 
Courant (A) 
5 Paramètres 
Datasheet 
200 W/m2 
800 W/m2 
1000 W/m2 
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 
0 
0.5 
1 
1.5 
2 
2.5 
3 
3.5 
4 
Tension(V) 
Puissance(A) 
5 Paramètres 
Datasheet 
800 W/m2 
200 W/m2 
1000 W/m2 
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 
0 
0.04 
0.08 
0.12 
0.16 
0.2 
Tension (V) 
Erreur Absolue (A)
A Detailed Modeling of a Five Parameters Model for Photovoltaic modules 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 58| 
To show the effectiveness of the studied models, the photovoltaic modules: Shell S36, Shell SP70 and Shell ST40 are used of which Tab. 3 to 5 show the relative errors on the maximum power point for different temperature (0°C to 50°C). Figs 4 and 5 show successively the absolute error of the current according to the tension for the Solarex MSX60 module and Q6LM cell. 
Fig . 5.Absolute error For the Solarex MSX60 Module in25 °C, 1000 W/m2 This calculation considers the standard conditions, illumination and temperature STC (25°C, 1000W/m2). The model with five parameters gives incorrect results in the vicinity of the open circuit voltage. It must be provided that our model does not take account of the coefficient of open circuit voltage [1].The circle represents the zone where normally the point of the maximum power of module. It is observed that this zone represents an absolute error which can be considered negligible (<0.02). Lastly, our model gives a good agreement with the data of datasheet. 
TABLE 3.RELATIVE ERRORS OF MULTI-CRYSTALLINE SILICON (SHELL S36) 
Temperature 
Cinq Paramètres 
Datasheet 
Erreur -Relative(%) 
0° C 
39.5228 
40.05 
1.3164 
25° C 
36.0317 
36 
0.0882 
50° C 
32.3981 
31.95 
1.4026 
TABLE 4.RELATIVE ERRORS OF MONO-CRYSTALLINE SILICON (SHELL SP70) 
Temperature 
FiveParameters 
Datasheet 
Erreur-Relative(%) 
0° C 
75.1311 
77.88 
3.5297 
25° C 
70.0067 
70 
0.0096 
50° C 
64.1841 
62.13 
3.3062 
TABLE 5.RELATIVE ERRORS OF THIN-FILM (SHELL ST40) 
Temperature 
Five parameters 
Datasheet 
Erreur -Relative(%) 
0° C 
44.4188 
46.00 
3.4374 
25° C 
40.0369 
40.00 
0.0923 
50° C 
35.6734 
34.00 
4.9216 
IV. CONCLUSION 
In this article, a general approach on the photovoltaic modules modeling is presented. The five parameters model uses abundant data only by the manufacturer. The chosen points for the determination of the parameters are the short-circuit current Isc, the open circuit voltageVoc, and the maximum power point (Vp, IP). The model requires a calculation of these parameters (γ, I0, Iph, Rs, and Rsh) at the reference conditions STC (25°C, 1000 W/m2). These values are then used in the model to calculate the parameters with real conditions. Three types of photovoltaic modules were modeled and evaluated (CIS, multi-crystalline silicon, and mono- crystalline silicon). We vary the ideality factor γ between 0.0 and 4 with a step of 10-4, for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. The precision of the model is also analyzed by the comparison between the data of the product and the results of simulation. Lastly, our model gives a good agreement with the data of datasheet. 
051015202500.040.080.120.160.2Tension (V) Erreur Absolue (A)
A Detailed Modeling of a Five Parameters Model for Photovoltaic modules 
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 59| 
REFERENCES 
[1] R. Chenni, M. Makhlouf, T. kerbacheand A. Bouzid, “A detailed modeling method for photovoltaic cells,’’ Solar Energy, Vol. 32, pp. 1724-1730, 2007. 
[2] K. Ishaque, Z. Ssalam and T. Hamed, “Simple, fast and accurate two-diode model for photovoltaic modules,” Solar Energy Mater and Solar Cells, Vol. 95, No. 2, pp.586-594, 2011. 
[3] E. Matagne., R. Chenni and R. El Bachtiri, “A photovoltaic cell model based on nominal data Only,’’Proceedings of the international conference on power Engineering Energy and Electrical Drives-Powereng, Portugal, , pp. 562-565, April 2007. 
[4] M. Rekinger, E. Matagne, R. El Bachtiri and R. Chenni,’’ Un modèle de cellule photovoltaïque avec effet thermique établi sur base des valeurs nominales.’’ Conférence EF 2007, Toulouse, 2007. 
[5] B. Fry,’’ Simulation of Grid-Tied Building Integrated Photovoltaic Systems,” M.S. Thesis, Mechanical Engineering, University of Wisconsin-Madison, 1998. 
[6] D. Sera, R. Teodorescu and P. Rodriguez, “PV panel model based on datasheet values,'' In: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE), pp. 2392–2396, 2007. 
[7] V. Lo Brano, A. Orioli, G. Ciulla and A. Di Gangi, “An improved five-parameter model for photovoltaic modules,’’ Solar Energy Materials and Solar Cells, Vol. 94, pp. 1358–1370, 2010. 
[8] A. Chouder, S. Silvestre, N. Sadaoui and L. Rahmani, “Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters,’’ Simulation Modling Practice and Theory, Vol. 20, pp. 46- 58, 2012. 
[9] M.G. Villalva, J.R. Gazoli and E.R. Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,’’ IEEE Trans. power electron, Vol. 24, pp. 1198–1208, 2009. 
[10] W. De Soto,’’Improvement and validation of a model for photovoltaic array performance,’’ M.S. Thesis, Mechanical Engineering, University of Wisconsin-Madison, 2004. 
[11] B. Mustapha,’’ Modélisation et Simulation d'un Système de Pompage Photovoltaïque,’’ M.S. Thesis. University of Oran, Algérie, 2006. 
[12] W. De Soto, SA. Klein and WA. Beckman, “Improvement and validation of a model for photovoltaic array performance,’’ Solar Energy, Vol. 80, pp. 78–88, 2006. 
[13] K. Ishaque, Z. Salam, H. Taheri and Syafaruddin, “Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model," Simulation Modelling Practice and Theory, Vol. 19, pp. 1613-1626, 2011. 
[14] W. Xiao, W. G. Dunford and A. Capel,”A Novel Modeling Method for Photovoltaic Cells,” 35th Annual IEEE Power Electronics Specialists Conference, Germany, 2004.

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A Detailed Modelingof a Five Parameters Model for Photovoltaic Modules

  • 1. International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 54| A Detailed Modelingof a Five Parameters Model for Photovoltaic Modules NouarAoun1, Boukheit Nahman2, Rachid Chenni3, KadaBouchouicha4 1, 2 Departmentof Physics, Constantine 1 University, Algeria 3 MoDERNa Laboratory, Constantine 1 University, Algeria 4Research Unit in Renewebles Energies, URER/MS, Development Centre of Renewable Energies, CDER, Adrar, Algeria. I. INTRODUCTION The modeling of a photovoltaic module (of a cell) implies mainly the estimate of nonlinear curves IV. Preceding researchers [1], [2], [3] and [4] used topological circuits to model the module characteristics when it is subjected to environmental variations such as illumination and the temperature.By far, the simplest approach is the model with a diode, namely a power source simultaneously with a diode [2], [5] and [6]. In the majority of work of the literature, we find mainly the model equivalent to four parameters based on the mathematical modeling of the curve voltage [1], [3]. The model with four parameters utilizes four parameters, namely: Iph (the photo current), I0 (the saturation current), γ (the factor of the diode ideality) and Rs (resistance series). These parameters are not generally measurable quantities or included in the data of manufacture. Consequently, they must be given starting from anequations system of governing the characteristic IV at various points of operation given by the manufacturer or drawn from the experimental tests. An extension of the model of only one diode, including an additional resistance shuntRsh is proposed by many authors [7]. While adding resistance shunt, the number of parameters is changed to five. The performances of the solar cells are normally evaluated under the standard test condition (STC), where an average solar spectrum with 1,5 AM is used and illumination is standardized with 1000W/m2.As it is shown in Fig.1, the model with only one exponential with a parallel resistance Rsh described by (1) is nonlinear and implicit; therefore, a solution will be determined by iterative methods (Newton-Raphson, Levenberg Marquardt,…etc). In our work, the method of Newton-Raphson was used numerically. Fig. 1.Circuit equivalent of the five parameters model The relation current-tension in the conditions (T=25°C, E=1000 W/m2) for the equivalent circuit, fig. 1 is expressed in (1). I=Iph-I0 exp q V+IRs γkT −1 − V+IRsRsh(1) Where q the electronic load, K the Boltzmann constant, T the temperature, γ is the ideality factor, Iph the power source, I0 the reverse current of saturation of the diode, Rs resistance series and Rsh resistance shunt. I Rs Rsh D Iph RL V Abstract:In the present paper we interested at the parametric characterization of the five parameters model. However, we reductive the system of the three characteristic points under STC in one equation called fRsand one unknown parameter (i.e., Rs). Moreover, we vary with a step of 10-4, the ideality factor γ between 0.0 and 4 for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. Finally, when γ is known the other four parameters (i.e., Rs, I0, Iph and Rsh) are known. The effectiveness of this approach is evaluated through comparison of simulation results to the data provided by product’s manufacturer. Keywords:photovoltaic; nonlinear equation; five parameters model.
  • 2. A Detailed Modeling of a Five Parameters Model for Photovoltaic modules | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 55| II. FIVE PARAMETERS MODEL The five parameters appearing in (1) corresponding to the conditions standards are:γ, Io, Iph, Rs, and Rsh. These parameters are with starting from the measurement of characteristic I-V for a couple of illumination and reference temperature given to only on nominal database provided by the manufacturer. In general, these five parameters depend on the incidental solar radiation on the cell and on the temperature [8]. Three pairs of parameters of the characteristic voltage are normally provided by the manufacturer (2) to (4): the shortcircuit current Isc, the open circuit voltageVoc and the current and the tension at the maximum powerpoint (i. e., Imp, Vmp), respectively. Fourth information results from the assumption that the derivation of the power at the maximum power point is null.  Short-circuit Current: Isc=Iph−I0 exp qRsIscγkT −1 − RsIscRsh (2)  Open circuitvoltage: 0=Iph−I0 exp qVocγkT −1 − VocRsh (3)  Maximum power point: Ip=Iph−I0 exp q Vp+RsIp γkT −1 − Vp+RsIpRsh (4) We obtain the values of four unknown factorIph, I0, Rshand Rsstarting from the system of equations as (5), [11]. However, in [11] the ideality factor supposed as a constant parameter. 0I푠푐 I푝 ∕ 1−C−Voc1−B−RsIsc1−A−Vp−RsIp = IphI01∕Rsh (5) Contrary to the various authors who treated the ideality factor as a constant parameter [9], [10] and [11], we vary with a step of 10-4, the ideality factor γ between 0.0 and 4 for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. Where: A=exp q Vp+RsIp γkT −1(6) B=exp qRsIscγkT −1(7) C=exp qVocγkT −1(8) Iph=det−1 VocIscA−VocIpB−VpIscC (9) Isc=det−1 VocIsc−VocIp−VpIsc (10) Rsh−1=det−1 IscA−IpB− Isc−Ip C (11) The calculation of det is shown in (12): det= Voc−RsIsc A+ −Voc+Vp+RsIp B+ −Vp+Rs Isc−Ip C(12) The derivative of the power at the point of maximum power is null: d IV dV p=Ip−Vp dIdV p=0(13) With dIdV p is given by the following relation: dIdV p= −qI0γkTexpq Vp+IpRs γkT− 1Rsh / 1+ qI0RsγkTexpq Vp+IpRs γkT+ RsRsh (14) The derivative of (1) compared to the voltage can be expressed by: dIdV=− Rs+ qI0γkTexpq V+RsI γkT+ 1Rsh −1 −1(15) We introduce (13) in (15), then we define a function fRs given by:
  • 3. A Detailed Modeling of a Five Parameters Model for Photovoltaic modules | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 56| fRs = Ip − Vp − Rs Ip qI0 γkT exp q Vp+Rs Ip γkT + 1 Rsh (16) As I0 and Rsh depend on Rs, the functionfRs is also. The resolution of fRs=0 with the algorithm of Newton- Raphson implies the calculation of its derivative; that is to say: dfRs dRs = − VTIpIsc Vp − Rs Ip A − B det + 1 Rsh IM + Vp − Rs Ip det ddet dRs + VT I0exp q Vp + Rs Ip γkT … IM 1 − q Vp −Rs Ip γkT + Vp −Rs Ip γkT ddet dRs (17) With: ddet dRs = VTIp Voc − Rs Isc − Isc A+ VTIsc −Voc + Vp + Rs Ip + Ip B + Isc − Ip C + VT … VpIsc − Voc Isc − Ip (18) VT = q γkT (19) III. RESULTS AND DISCUSSIONS The precision of process of modeling described in this document is validated by the parameters of datasheet of selected photovoltaic modules.Three modules of different technologies are used for the checking; the multi and the single-crystal one like that of thin films type. The characteristics of the modules are summarized in Tab. 1. TABLE 1. CHARACTERISTICS OF VARIOUS MODULES STUDIED UNDER STC BP solar MSX-60 Siemens SM55 Shell S36 Shell SP-70 Shell ST40 multi-crystalline mono-crystalline couche mince Isc (A) 3.8 3.45 2.3 4.7 2.68 Voc (V) 21.1 21.7 21.4 21.4 21.3 Ip (A) 3.5 3.15 2.18 4.25 2.41 Vp (V) 17.1 17.4 16.5 16.5 16.6 We measured the curves voltage and power-voltage of the photovoltaic module for various weather conditions (solar illumination and temperature) and we calculated the statistical parameters in order to estimate the validity of the model used. Tab. 2 shows calculated parameters for the five parameters model. Fig. 2, show the characteristics power-voltage and current-voltage comparison, respectively, of the five parameters model and the experimental points extracted from the datasheet for the Solarex MSX60 module at various operating temperatures. Fig. 2.CurvesI-V and P-V of SOLAREX MSX60 Module in Fixeillumination 1KW/m2. 0 5 10 15 20 0 1 2 3 4 5 Tension (V) Courant (A) 5 Paramètres Datasheet 50°C 25°C 75°C 0 5 10 15 20 0 10 20 30 40 50 60 70 Tension (V) Puissance (W) 5 Paramètres Datasheet 25°C 50°C 75°C
  • 4. A Detailed Modeling of a Five Parameters Model for Photovoltaic modules | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 57| Fig. 3, show the characteristics power-voltage and current-voltage comparison, respectively, of the five parameters model and the experimental points extracted from the datasheet for photovoltaic cell Q6LM at various levels of illuminations. TABLE 2. ELECTRIC PARAMETERS OF THE MODEL PROPOSES BP solar MSX-60 Siemens SM55 Shell S36 Shell SP-70 Shell ST40 multi-crystalline mono-crystalline couche mince γ 1.5 1.7 1.2588 1.7 2.097 Iph (A) 3.8003 3.4503 2.30023 4.7003 2.6804 I0 (A) 9.4607e-7 3.5065e-6 2.40919e-8 5.7971e-6 1.6315e-5 Rs (mΩ) 0.0034 0.0036 0.01831 0.0078 0.0257 Rsh(mΩ) 43.0744 43.7167 179.783 110.6362 215.3892 We observe on Figs 2 to 3 that the two curves appear identical to the points of standard condition of reference. On the other hand, more the temperature and illumination are far away from the standard conditions of reference, more there are divergences in the elbow of the curves and at the point of open circuit voltage. Fig. 3.Curve P-V of Q6LM Cell in Fixe Temperature 25°C The differences between the data of the datasheet and the computed values occur because of the limitations in the model of the cells themselves, as well as in the calculating methods [12]. Moreover, there are uncertainties inherent in the experimental data. The experimental data points are extracted from datasheet and from [2] and [14]. Fig4.. Absolute error For Q6LM Cell in 25 °C, 1000 W/m2 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 1 2 3 4 5 6 7 8 9 Tension (V) Courant (A) 5 Paramètres Datasheet 200 W/m2 800 W/m2 1000 W/m2 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 0.5 1 1.5 2 2.5 3 3.5 4 Tension(V) Puissance(A) 5 Paramètres Datasheet 800 W/m2 200 W/m2 1000 W/m2 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 0.04 0.08 0.12 0.16 0.2 Tension (V) Erreur Absolue (A)
  • 5. A Detailed Modeling of a Five Parameters Model for Photovoltaic modules | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 58| To show the effectiveness of the studied models, the photovoltaic modules: Shell S36, Shell SP70 and Shell ST40 are used of which Tab. 3 to 5 show the relative errors on the maximum power point for different temperature (0°C to 50°C). Figs 4 and 5 show successively the absolute error of the current according to the tension for the Solarex MSX60 module and Q6LM cell. Fig . 5.Absolute error For the Solarex MSX60 Module in25 °C, 1000 W/m2 This calculation considers the standard conditions, illumination and temperature STC (25°C, 1000W/m2). The model with five parameters gives incorrect results in the vicinity of the open circuit voltage. It must be provided that our model does not take account of the coefficient of open circuit voltage [1].The circle represents the zone where normally the point of the maximum power of module. It is observed that this zone represents an absolute error which can be considered negligible (<0.02). Lastly, our model gives a good agreement with the data of datasheet. TABLE 3.RELATIVE ERRORS OF MULTI-CRYSTALLINE SILICON (SHELL S36) Temperature Cinq Paramètres Datasheet Erreur -Relative(%) 0° C 39.5228 40.05 1.3164 25° C 36.0317 36 0.0882 50° C 32.3981 31.95 1.4026 TABLE 4.RELATIVE ERRORS OF MONO-CRYSTALLINE SILICON (SHELL SP70) Temperature FiveParameters Datasheet Erreur-Relative(%) 0° C 75.1311 77.88 3.5297 25° C 70.0067 70 0.0096 50° C 64.1841 62.13 3.3062 TABLE 5.RELATIVE ERRORS OF THIN-FILM (SHELL ST40) Temperature Five parameters Datasheet Erreur -Relative(%) 0° C 44.4188 46.00 3.4374 25° C 40.0369 40.00 0.0923 50° C 35.6734 34.00 4.9216 IV. CONCLUSION In this article, a general approach on the photovoltaic modules modeling is presented. The five parameters model uses abundant data only by the manufacturer. The chosen points for the determination of the parameters are the short-circuit current Isc, the open circuit voltageVoc, and the maximum power point (Vp, IP). The model requires a calculation of these parameters (γ, I0, Iph, Rs, and Rsh) at the reference conditions STC (25°C, 1000 W/m2). These values are then used in the model to calculate the parameters with real conditions. Three types of photovoltaic modules were modeled and evaluated (CIS, multi-crystalline silicon, and mono- crystalline silicon). We vary the ideality factor γ between 0.0 and 4 with a step of 10-4, for each iteration in order to choose the value of γ which gives a minimal relative error of the maximum power point. The precision of the model is also analyzed by the comparison between the data of the product and the results of simulation. Lastly, our model gives a good agreement with the data of datasheet. 051015202500.040.080.120.160.2Tension (V) Erreur Absolue (A)
  • 6. A Detailed Modeling of a Five Parameters Model for Photovoltaic modules | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.7| July. 2014 | 59| REFERENCES [1] R. Chenni, M. Makhlouf, T. kerbacheand A. Bouzid, “A detailed modeling method for photovoltaic cells,’’ Solar Energy, Vol. 32, pp. 1724-1730, 2007. [2] K. Ishaque, Z. Ssalam and T. Hamed, “Simple, fast and accurate two-diode model for photovoltaic modules,” Solar Energy Mater and Solar Cells, Vol. 95, No. 2, pp.586-594, 2011. [3] E. Matagne., R. Chenni and R. El Bachtiri, “A photovoltaic cell model based on nominal data Only,’’Proceedings of the international conference on power Engineering Energy and Electrical Drives-Powereng, Portugal, , pp. 562-565, April 2007. [4] M. Rekinger, E. Matagne, R. El Bachtiri and R. Chenni,’’ Un modèle de cellule photovoltaïque avec effet thermique établi sur base des valeurs nominales.’’ Conférence EF 2007, Toulouse, 2007. [5] B. Fry,’’ Simulation of Grid-Tied Building Integrated Photovoltaic Systems,” M.S. Thesis, Mechanical Engineering, University of Wisconsin-Madison, 1998. [6] D. Sera, R. Teodorescu and P. Rodriguez, “PV panel model based on datasheet values,'' In: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE), pp. 2392–2396, 2007. [7] V. Lo Brano, A. Orioli, G. Ciulla and A. Di Gangi, “An improved five-parameter model for photovoltaic modules,’’ Solar Energy Materials and Solar Cells, Vol. 94, pp. 1358–1370, 2010. [8] A. Chouder, S. Silvestre, N. Sadaoui and L. Rahmani, “Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters,’’ Simulation Modling Practice and Theory, Vol. 20, pp. 46- 58, 2012. [9] M.G. Villalva, J.R. Gazoli and E.R. Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,’’ IEEE Trans. power electron, Vol. 24, pp. 1198–1208, 2009. [10] W. De Soto,’’Improvement and validation of a model for photovoltaic array performance,’’ M.S. Thesis, Mechanical Engineering, University of Wisconsin-Madison, 2004. [11] B. Mustapha,’’ Modélisation et Simulation d'un Système de Pompage Photovoltaïque,’’ M.S. Thesis. University of Oran, Algérie, 2006. [12] W. De Soto, SA. Klein and WA. Beckman, “Improvement and validation of a model for photovoltaic array performance,’’ Solar Energy, Vol. 80, pp. 78–88, 2006. [13] K. Ishaque, Z. Salam, H. Taheri and Syafaruddin, “Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model," Simulation Modelling Practice and Theory, Vol. 19, pp. 1613-1626, 2011. [14] W. Xiao, W. G. Dunford and A. Capel,”A Novel Modeling Method for Photovoltaic Cells,” 35th Annual IEEE Power Electronics Specialists Conference, Germany, 2004.