**6. Conclusion**

Since nonlinear and multi-parameter PV models are used to represent a PV cell's physical behavior, classical methods are incapable of evaluating the exact parameters' values of these models. For these reasons, the present paper presents a proposed hybrid method of obtaining the unknown electrical parameters of

**45**

**Author details**

Algeria

Algeria

Selma Tchoketch Kebir1,2

*Study of a New Hybrid Optimization-Based Method for Obtaining Parameter Values of Solar Cells*

solar photovoltaic cells. To do so, we applied our hybrid method, the LM combined with GWO method, after having initial guess using least squares mean, and then compared it with other previous optimization-based methods. The application of LMGWO has shown high precision for the obtained solutions' values. The LMGWO outperforms the other tested algorithms in many aspects. It is simple and accurate and converges rapidly to the optimum in every test. In addition, it has fewer parameters to set then it is easily implemented. The obtained results demonstrate the efficiency of the hybrid LMGWO approach compared to the other meta-heuristics

1 Laboratoire de Dispositifs de Communications et de Conversion Photovoltaique, Electronic Department, Ecole Nationale Polytechnique, 16000 El-harrach, Algiers,

Développement des Energies Renouvelables, CDER, Bou-Ismail, 42415 W, Tipaza,

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

2 Unité de Développement des Equipements Solaires, UDES/Centre de

\*Address all correspondence to: selma.tchoketch\_kebir@g.enp.edu.dz

provided the original work is properly cited.

*DOI: http://dx.doi.org/10.5772/intechopen.93324*

and some of the other traditional methods.

The authors declare no conflict of interest.

**Conflict of interest**

*Study of a New Hybrid Optimization-Based Method for Obtaining Parameter Values of Solar Cells DOI: http://dx.doi.org/10.5772/intechopen.93324*

solar photovoltaic cells. To do so, we applied our hybrid method, the LM combined with GWO method, after having initial guess using least squares mean, and then compared it with other previous optimization-based methods. The application of LMGWO has shown high precision for the obtained solutions' values. The LMGWO outperforms the other tested algorithms in many aspects. It is simple and accurate and converges rapidly to the optimum in every test. In addition, it has fewer parameters to set then it is easily implemented. The obtained results demonstrate the efficiency of the hybrid LMGWO approach compared to the other meta-heuristics and some of the other traditional methods.
