Application of the Genetic Algorithms for Identifying the Electrical Parameters of PV Solar Generators

Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

“…The extracted parameters were used to compute the corresponding MPP for each curve. A similar work has been proposed in [74]. Ismail et al [113] applies GA to find the global optimum parameter values of a PV module, i.e.…”

“…Such knowledge is crucial in order to optimise the cell fabrication process or to study of cell performance due to ageing and environmental degradation [68,74,92,93]. Table 3 presents a brief description of the concept behind the popular soft computing method, their applications in the PV modelling and the relevant published works.…”

“…In recent years-due to their notable potentials, soft computing methods such as the genetic algorithm [74][75][76][77], differential evolution [78][79][80], particle swarm optimization [81][82][83][84], simulated annealing [73], cuckoo search [85], bacteria foraging algorithm [86], harmony search [87], pattern search optimization [88,89], artificial bee swarm optimization [90] and the bird mating optimizer [91] have been employed to solve for the model parameter by extraction. They are particularly attractive due to their global q Current for other than STC is performed using the equation given as Translational equations:…”

Methods to determine the dc parameters of solar cells: A critical review

“…In the former case the measurements can be performed under dark or illuminated conditions, in the latter case solar simulators being used [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

“…Sellami and Bouaïcha determined the five parameters of the solar cell using the one diode model, the I-V characteristic which is measured under illumination conditions and for the fitting procedure the genetic algorithm (GA) is used [20]. The GA consists of some preliminary decisions: solution encoding, evaluation function, initial population generation, selection criterion, recombination/reproduction and termination criteria.…”