![]() ![]() The theoretical modeling and computer simulation of PV systems are essential to understand the output characteristics, efficiency and performance and to analyze the system with the variation of solar insolation, temperature. 1−5 The solar photovoltaic (PV) has shown the great potential for the replacement fossil fuels to meet the energy demand in many countries globally especially in the area of distributed electric power generation. The rapid combustion of fossil fuels for energy generation could led to serious environmental issues such as accumulation of greenhouse gases in the atmosphere, acid rain, depletion of the ozone layers and climate change globally. Keywords: photovoltaic cell, single diode model, double diode model, three diode model, evolutionary algorithm, root mean square error Abbreviations Much emphasis is given on the search range and control parameters setting of the algorithms since they ultimately control the performance of EAs. Some EAs has the advantage of faster computational time and convergence speed compared to others. Hybridized EAs provide better accuracy but exhibit slow convergence speed. ![]() Moreover this study will review the different EAs such as bio-inspired based, swarming based, chemistry/physics based and hybridization based algorithms to extract the model parameters of the PV system. This review article initially introduces the single diode, double diode and triple diode electrical equivalent circuit models of the PV and compares their advantages and disadvantages. The equivalent electrical circuit model and the accuracy of the model parameters of the PV system are essential to understand the output characteristics, efficiency, and performance and to analyse the system with the variation of temperature and irradiation. In recent years, significant amount of research has been done on the Evolutionary Algorithms (EA) to accurately estimate the parameters of the solar PV module. ![]()
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