A grade point average assessment of analytical and numerical methods for parameter extraction of a practical PV device

Muhammad Adeel, Ahmad Kamal Hassan, Hadeed Ahmed Sher and Ali Faisal Murtaza

Renewable and Sustainable Energy Reviews, 2021, vol. 142, issue C

Abstract: This paper presents a comprehensive evaluation and ranking mechanism of analytical and meta-heuristic algorithms for the extraction of parameters of a practical PV device. A total of 10 algorithms are analyzed on single and two diode PV device models to extract the series and shunt resistances Rs and Rsh, respectively. As a benchmark, the commercially available Mono-Crystalline Sanyo-HIT215 and Multi-Crystalline Kyocera-KC200GT PV module were selected. The resulting parameters have been characterized under different values of temperature and irradiance. The I–V curves obtained using these algorithms are retrofitted on the I–V curves provided by the manufacturer. The evaluation is further enhanced by calculating the total error, fitness value, convergence time, and standard deviation in terms of error and time. Furthermore, a cumulative grade point average mechanism is introduced to rank the studied algorithms.

Keywords: PV parameters; Single diode PV model and Two diode PV model; Analytical methods; Numerical methods; CGPA; Optimization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.rser.2021.110826

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