A comprehensive review on future research trends in solar cell parameter extraction techniques

Abstract

The solar cell parameter extraction using different solar cell models is crucial for studying aging, degradation analysis, reliability analysis, fault analysis, power forecasting, and assessing power generation by PV modules. However, despite extensive work in this area, there is still a need to consolidate the research by reviewing reliable techniques to identify clear-cut research gaps for further follow-up. The objective of the study is to present a critical assessment of the key concerns of various methods published in the literature over the last decade. A comprehensive analysis of analytical, numerical, metaheuristic techniques and hybrid methods are carried out. Instead of using a predetermined set of assessment criteria, this work first examines and summarizes different approaches with emphasis on execution time, maximum, average, standard deviation, different evaluation criteria relations, and range of parameters set. The advantages and limitations of each method are discussed by effectively merging the advantages of distinct methodologies, leading to the creation of various innovative hybrid techniques. Based on these aspects a research roadmap is outlined for future follow-up research. The outcome of the study is useful for researchers, PV simulators and solar power plant designers for understanding recent research on solar PV modeling.