Parameter Estimation of Solar Photovoltaic Models with Honey Badger Algorithm and Newton-Raphson Method
| International Journal of Electrical and Electronics Engineering |
| © 2024 by SSRG - IJEEE Journal |
| Volume 11 Issue 6 |
| Year of Publication : 2024 |
| Authors : C. Prasanth Sai, M. Vijaya Kumar |
10.14445/23488379/IJEEE-V11I6P129
How to Cite?
C. Prasanth Sai, M. Vijaya Kumar, "Parameter Estimation of Solar Photovoltaic Models with Honey Badger Algorithm and Newton-Raphson Method," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 6, pp. 267-281, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P129
Abstract:
In the field of solar Photovoltaic (PV) cells, extraction of parameters pertains to the ascertainment of the electrical properties of a PV cell, which are susceptible to perturbation by a multitude of factors, including cell configuration, irradiance, and temperature. It is crucial to precisely extract the parameters in order to model a cell's performance and optimize its design for constancy and efficiency. The objective is to obtain the parameters of a mathematical model that best describes the behaviour of a PV cell. In this study, a Honey Badger-based biologically inspired metaheuristic approach Newton–Raphson (N-R) method is applied to single and double-diode PV models. Conversely, when calculating objective functions, the N-R approach is employed to resolve nonlinear equations. Unfortunately, the majority of conventional techniques fail to take the nonlinearities of the I-V characteristics into account when estimating the parameters using the standard objective function. The suggested approach was validated by comparing the estimated parameters and Root Mean Square Error (RMSE) calculated among the estimated and experimental data with those obtained using various optimization approaches previously reported by researchers. The proposed approach has an RMSE of 7.73E-04 for the Single Diode Model (SDM) and 7.68E-04 for the Double Diode Model (DDM), which is less than most similar algorithms. In addition, the proposed method requires fewer control parameters for tuning than other methods, and extracted parameters closely match experimental data.
Keywords:
Solar PV cell, Single diode model, Double Diode Model, Honey Badger Algorithm, Newton-Raphson method.
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