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Parameter Extraction of Three Diode Solar Photovoltaic Model Using Quantum Manta Ray Foraging Optimization Algorithm

Abstract:

the expansion in the use of photovoltaic (PV) systems in the recent days has led to an increase in interest in studying the improvement of the efficiency of these systems, especially for the manufacture of these systems. One of the biggest problems appeared to PV system manufacturing, which is the problem of estimating the efficiency of the photovoltaic system, this led to the interest of a very large number of researchers. In addition, this address the question: Where are the difficulties in increasing the efficiency of photovoltaic systems? The problem lies in the high nonlinear current (I) - voltage (V) and power (P) -voltage (V) characteristics. In addition, there are too much missing information in the manufacturer's datasheets. Due to the previous reasons, the need for electrical equivalent model for PV systems for simulation is must. In this paper, an improvement of Manta Ray Foraging Optimization (QMRFO) is proposed to extract the parameters of the three-diode PV model (TDM). In this study the focus is on the behavior of the enhanced algorithm with the optimization problem and compares its behavior with the original algorithm and other re-sent algorithms. To conduct the evaluation process, different evaluation methods are used, for example: root mean square error (RMSE) for accuracy and statistical analysis for robustness. The QMRFO are more accurate than those obtained by MRFO and other studied optimization algorithms.