Parameters Estimation of Photovoltaic Cell Using Cuckoo Search Algorithm

Subject Areas : Electronic Engineering

Vahdat Nazerian ¹ , Mehran Hosseinzadeh Dizaj ² , Alireza Salehi ³

1 - Department of Electrical Engineering, University of Mazandaran, Babolsar, Iran
2 - Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran

Received: 2023-11-13 Accepted : 2024-03-16 Published : 2024-12-20

Keywords: Photovoltaic cell, Parameters estimation, Cuckoo search algorithm, Root-mean-square error,

Abstract :

In this paper, an electrical equivalent circuit model based on the photovoltaic effect has been presented with the studies done on the simulation of the solar energy system. This linear model, which consists of two diodes, shows the behavior of a solar cell to produce electricity. We have done the desired simulations using MATLAB software. Our goal in this research is to calculate the minimum error value for the unknown parameters of the circuit, which is obtained by the root-mean-square error (RMSE). In order to accurately and reliably determine the parameters of the double-diode model, an optimization method based on collective intelligence called the Cuckoo search algorithm is presented in this article. According to the desired model that we intend to study with the proposed algorithm, to obtain the minimum error value, we calculate the unknown parameters of the circuit and compare them with other methods. The results show that the RMSE value of the proposed algorithm with the initial population value of 50 and the number of iteration rounds of 1000 is equal to 3.56*10-2, which provides better results than other algorithms. The average execution time of this algorithm is 15.81 milliseconds per every iteration round.

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