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A Hybrid Approach Incorporating WSO-HO and the Newton-Raphson Method to Enhancing Photovoltaic Solar Model Parameters Optimisation Cover

A Hybrid Approach Incorporating WSO-HO and the Newton-Raphson Method to Enhancing Photovoltaic Solar Model Parameters Optimisation

Open Access
|Jan 2025

Figures & Tables

Figure 1.

Equivalent circuit cell model. (a) Equivalent circuit of SDM. (b) Equivalent circuit of DDM. DDM, double diode model; SDM, single diode model.
Equivalent circuit cell model. (a) Equivalent circuit of SDM. (b) Equivalent circuit of DDM. DDM, double diode model; SDM, single diode model.

Figure 2.

Parameter extraction by integrating Newton-Raphson method with WSO-HO optimization algorithm.
Parameter extraction by integrating Newton-Raphson method with WSO-HO optimization algorithm.

Figure 3.

Flow Chart of Hybrid WSO-HO Algorithm.
Flow Chart of Hybrid WSO-HO Algorithm.

Figure 4.

Hybridization WSO-HO Algorithm.
Hybridization WSO-HO Algorithm.

Figure 5.

Hybrid WSO-HO Algorithm with NR method. NR, Newton-Raphson.
Hybrid WSO-HO Algorithm with NR method. NR, Newton-Raphson.

Figure 6.

Curves with the measured and estimated data. (a) (P, V) data for SDM. (b) (I, V) data for SDM. SDM, single diode model.
Curves with the measured and estimated data. (a) (P, V) data for SDM. (b) (I, V) data for SDM. SDM, single diode model.

Figure 7.

Convergence and robustness curves for SDM. (a) Curves convergence (b) Curves robustness. SDM, single diode model.
Convergence and robustness curves for SDM. (a) Curves convergence (b) Curves robustness. SDM, single diode model.

Figure 8.

Convergence and Robustness Curves of Optimization Algorithms Applied to the SDM.
Convergence and Robustness Curves of Optimization Algorithms Applied to the SDM.

Figure 9.

Curves with the measured and estimated data. (a) Curves (P, V) for DDM. (b) Curves (I, V) for DDM. DDM, double diode model.
Curves with the measured and estimated data. (a) Curves (P, V) for DDM. (b) Curves (I, V) for DDM. DDM, double diode model.

Figure 10.

Convergence and robustness curves for DDM. (a) Curves convergence (b) Curves robustness. DDM, double diode model.
Convergence and robustness curves for DDM. (a) Curves convergence (b) Curves robustness. DDM, double diode model.

Figure 11.

Convergence and Robustness Curves of Optimisation Algorithms Applied to the DDM. DDM, double diode model.
Convergence and Robustness Curves of Optimisation Algorithms Applied to the DDM. DDM, double diode model.

Experimental current (I) and voltage (V) data for RTC France PV cells using SDM and DDM_

Parameter123456789
I (Ampere)0.7640.7620.76050.76050.760.7590.7570.75570.755
V (Volt)−0.2057−0.1291−0.05880.00570.06660.11830.16780.21520.2618

Parameter101112131415161718

I (Ampere)0.7540.75050.7460.73850.7280.7060.6730.6320.573
V (Volt)0.29240.32690.3850.38370.41730.45730.47980.47840.5119

Parameter1920212223242526

I (Ampere)0.4990.4130.3160.2120.103−0.01−0.123−0.21
V (Volt)0.53190.52660.39830.53210.55330.57360.58330.59

The SDM parameters estimated at the best RMSE

AlgorithmIph(A)Isd1(μA)Rs (Ω)Rsh (Ω)nRMSE
WSO-HO0.760790.310690.03654752.88991.47737.729856E-04
WSO0.760780.310690.0365452.8891.477277.730056E-04
HO0.767740.540600.0316419.319121.537468.753850E-04
GOANM (Amiri et al., 2024)0.760790.310690.03654752.88991.47737.729900E-04
GOA (Amiri et al., 2024)0.760700.340010.03618255.70211.48647.870400E-04
IMFOL (Qaraad et al., 2023)0.760780.323020.03637753.71861.48129.860200E-04
RTLBO (Yu et al., 2023)0.760780.323020.03637753.71851.48129.860200E-04
DLMVO (Ekinci et al., 2024)0.76080.32300.036453.71851.48129.860200E-04
OBL-RSACM (Li et al., 2023)0.760800.322030.0364353.35211.48129.845200E-04
AHO (Bogar, 2023)0.760790.310860.03654052.85951.21557.730600E-04
PSOCS (Fan et al., 2022)0.760780.323020.03637753.71851.48129.860200E-04
ELADE (Gu et al., 2023)0.760770.308390.03655552.82671.47657.754700E-04
ILSA (Huang et al., 2020)0.760770.323020.03637753.71851.48129.860200E-04
IHGS (Xu et al., 2022)0.760780.323020.036453.71781.48129.860200E-04
BES (Alsattar et al., 2020)0.76070.32300.036453.71851.48129.860200E-04
DE (Yu et al., 2022)0.76070.32090.036354.11341.47097.769200E-04
BES (Nicaire et al., 2021)0.76830.32620.036754.25571.49589.860000E-04
ITSA (Arandian et al., 2022)0.76060.32980.036356.56941.48329.933900E-04

Analysis of RMSE for Single and Double PV models

ModelAlgorithmMinMeanMaxSTD
SDMWSO-HO7.72985671E-047.7308567E-047.7410567E-046.138516E-17
WSO7.73005671E-048.1665894E-040.0020832.3920836E-04
HO8.75385E-040.002330.006293591.33368-03
GOA [Amiri, H. H et al., 2024]7.5810E–047.7695E–048.8385E–042.4314E–05
GOANM [Amiri, H. H et al., 2024]7.4339E–047.5263E–047.6714E–047.3732E–06
ELAD [Gu, Z. et al., 2023]9.8602E-049.8602E-049.8605E-041.753E-10
DE [Yu, S., 2022]9.811E-041.02874E-031.0813E-032.94961E-05
ISCA [Chen, H., 2019]7.3423E-047.2302E-047.4592E-041.30287E-06
ITSA [Nicaire, N. F., et al., 2021]9.86E-047.730062E-049.89E-045.70E-16

DDMWSO-HO7.420691E-047.4967098E-047.72985671E-041.08074E-05
WSO7.4378257E-048.3867102E-040.000998921.6562955E-04
HO8.55885e-040.002650080.0065421.74708E-03
GOA [Amiri, H.H et al., 2024]7.5810E–047.7695E–048.8385E–042.4314E–05
GOANM [Amiri, H.H et al., 2024]7.4339E–047.5263E–047.6714E–047.3732E–06
ELAD [Gu, Z. et al., 2023]9.8252E-041.32602E-031.000562E-039.15E-12
DE [Yu, S., 2022]9.8607E-049.8874E-047.730062E-042.4696E-06
ISCA [Chen, H., 2019]2.2142E-041.66043E-029.93218E-041.30287E-06
ITSA [Nicaire, N. F., et al., 2021]9.9804E-049.99991E-043.799062E-026.33E-06

The boundaries of extracted PV parameters for SDM and DDM

ParameterLower boundUpper bound
Iph (A)01
Isd, Isd1, Isd2, (μA)01
Rs (Ω)01
Rsh(Ω)0100
n, n1, n212

The DDM Parameters Estimated at the best RMSE

AlgorithmIph (A)Isd1 (μA)Isd2 (μA)Rs (Ω)Rsh (Ω)n1n2RMSE
WSO-HO0.7608050.08543430.99915290.037648556.07751461.377561041.818106757.42069103E-04
WSO0.7608040.0693340.8846800.037681355.9185521.36486821.76884047.4378257E-04
HO0.76078790.31069090.31069090.036546752.88990921.477271641.477271608.55885e-04
GOANM [Amiri, H.H et al., 2024]0.760810.116240.97680.03745955.72981.39941.85977.4339E-04
GOA [Amiri, H.H et al., 2024]0.760790.197040.43560.0368854.26161.44171.81867.5810E-04
IMFOL [Qaraad, M. et al., 2023]0.760780.766320.22510.03673155.65672.00001.45089.8252E-04
RTLBO [Yu, X. et al., 2023]0.760780.225970.74940.0367455.48551.45102.00009.8248E-04
DLMVO [Ekinci,S., et al., 2024]0.76080.74930.22600.036755.48542.00001.45109.8248E-04
OBL-RSACM [ Li, J. et al., 2023]0.760330.399860.26770.0366956.01021.41512.00009.8237E-04
AHO [Bogar,E., 2023]0.760780.279880.27680.03653054.28561.95631.46829.8401E-04
PSOCS [Fan, Y., et al., 2022]0.760780.225980.74930.03674055.48551.45102.00009.8248E-04
ELADE [Gu, Z. et al., 2023]0.760720.244680.38020.03692753.51301.45641.98997.6480E-04
ILSA [Huang, T., et al., 2020]0.760780.505690.25570.03660954.92462.00001.46149.8270E-04
IHGS [Xu, B., et al., 2022]0.760780.749350.22600.0367455.485422.00001.451029.8248E-04
BES [Alsattar, H. A., et al., 2020]0.76080.22590.74930.036755.48541.45102.00009.8248E-04
DE [Yu, S., 2022]0.76050.423220.18730.0206151.93451.87581.43607.6300E-04
ITSA [Nicaire, N. F., et al., 2021]0.76080.97310.16790.036953.83681.92131.42819.82E-04
DOI: https://doi.org/10.2478/pead-2025-0003 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 41 - 59
Submitted on: Aug 30, 2024
Accepted on: Dec 29, 2024
Published on: Jan 27, 2025
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Ahmed Jeridi, Mohamed Hedi Moulahi, Hechmi Khaterchi, Abderrahmen Zaafouri, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.