An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE)

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A mathematical modeling framework to evaluate the performance of single diode and double diode based SPV systems (2016, methodology): “The double diode model can be represented by the following equation (Ma et al., 2014; Tsai et al., 2008; Ishaque and Salam, 2011):”
Parameter extraction of solar photovoltaic modules using penalty-based differential evolution (2012, positive): “Due to the fact that the objective function in the extraction process tend to be multi-modal, EA methods can be very effective regardless of gradient and initial condition information [9,24].”
Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, methodology): “Therefore, in the later approach es, the use of artificial intelligence techniques for solar cell parameter extraction has received considerable attention recently [15, 16], such as genetic algorithms (GAs) [12, 17], p article swarm optimization (PSO) [18, 19, 20, 21, 22], differential evolution (DE”
A Method for the Analytical Extraction of the Single-Diode PV Model Parameters (2016, background): “The majority of relevant studies [2], [3], [5]–[9], [11]–[14], [16], [17], [19], [20], [22], [26], [28]–[31], [34], [39]–[43], [45], [49]–[52], rely on the single-diode electrical equivalent circuit to describe the PV cell and module, due to its simplicity and sufficient accuracy.”