New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics

By Adelmo Ortiz-Conde, F. Sánchez, Juan Muci. 2006

430 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/91739cbe690945919c0434e3750de9522933e0b5

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In Electrical and Electronic Engineering

Citations in the corpus

Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, background): “Generally, in the literature, there are two types of approac hes for the purpose of parameter extraction of solar cell models: i) analytical approaches [8, 9, 10, 6, 11] and ii ) numerical approaches [12, 13, 14].”
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.”
Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules (2021, methodology): “, 1986), Lambert W-functions (Ortiz-Conde et al., 2006), and the iterative curve fitting (Chan et al.”
Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm (2013, methodology): “The proposed algorithm can also be applied to other methods which take advantage of an auxiliary function [23–25].”
Solar cell parameters extraction based on single and double-diode models: A review (2016, methodology): “The photogenerated current can be derived as I [32] as equal as I [17].”
Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis (2010, methodology): “These models make use of nonlinear lumped-parameter equivalent circuits whose parameters are determined from experimental current– voltage characteristics by means of analytical [1–5] or numerical [6–13] extraction techniques.”
Parameter extraction of solar photovoltaic modules using penalty-based differential evolution (2012, methodology): “Generally, there are two possible approaches to extract the solar module parameters: (1) the analytical [14–17] and (2) numerical extraction techniques [18–23].”
A parameter extraction technique exploiting intrinsic properties of solar cells (2016, neutral): “With the datasets, computation techniques such as least squares [13,14], Differential Evolution (DE) [15], a modiﬁcation of DE technique (P-DE) [16], Genetic Algorithm (GA) [17], Pattern Search (PS) [18], Teaching–Learning [19], Bird Mating Optimizer (BMO) [20], Chaos Particle Swarm Algorithm…”