Abstract
Among all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as well as photovoltaic (PV) modules is an essential issue for reasonable performance assessment, control and optimal operation of PV energy systems. In the current study, a novel optimization algorithm, Tree Growth Algorithm (TGA), is applied for accurate and efficient extraction of the unknown solar cell and PV module parameters. TGA is applied for estimating the unidentified parameters of PV models. Single diode model (SDM), double diode model (DDM) and three diode model (TDM) are investigated in the mathematical models of both solar cells and PV modules. The obtained results from the application of TGA to achieve this objective are compared with different algorithms reported in the literature. Moreover, the results demonstrated that the proposed algorithm of TGA superior to other reported methods. The good matching of the I-V characteristic curve of the computed parameters with those of the measured data from the manufacturer’s PV modules/cells datasheet proved that the proposed TGA may function as a competitor to the methods provided in literature for parameters’ identification of PV of solar cells.
Highlights
Environmental protection concerns and the huge increase in the demand for electric energy make the usage of renewable sources of energy to be the tendency worldwide
As three different models are proposed in this study, the mathematical analysis is conducted to test the accuracy of each proposed model
The performance of the proposed technique was comprehensively examined in order to extract various commercial solar cells and typical PV modules using different diode models; a single diode model, a double diode model, and three diode modes
Summary
Environmental protection concerns and the huge increase in the demand for electric energy make the usage of renewable sources of energy to be the tendency worldwide. Several analytical techniques have been reported in [19]–[22], such as the Lambert method-based W- function was used for the estimation of the values of the unknown parameters of the SDM and DDM of the solar PV cells. A simple and precise method to identify the design parameters of DDM has been proposed by Mares et al in [28] In such a context, many numerical techniques are introduced in [21], [29], but regardless of the improvement in accuracy against the analytical approaches, the large number of unknown parameters in the numerical methods complicates the extraction’s procedure. [72] proposed applying an advanced adaptive differential evolution technique on such a problem targeting finding an estimate of the PV module parameters considering the availability of minimum information from the manufacturer datasheet through the implementation of single-diode and double-diode models.
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