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the research paper discusses the importance of photovoltaic PV model parameter extraction for planning optimizing and controlling PV systems it highlights the challenges faced by existing methods particularly metah euristic algorithms in achieving robust and accurate parameter identification for various PV models the authors propose an improved rhyme algorithm with enhanced exploration and exploitation capabilities the algorithm integrates a differential evolution mutation operator for exploration in a new exploitation strategy incorporating randomization in neighborhood strategies the improved rhyme algorithm is applied to estimate the optimal parameters of the single diode model double diode model and triple diode model for three PV cell and module types statistical analysis in 100 runs shows that the improved rhyme algorithm achieves more accurate and robust parameter estimations than other techniques the authors also discuss the limitations assumptions and future work in the field
