An efficient datasheet-based parameters extraction method for two-diode photovoltaic cell and cells model

Zhuo Meng, Yiman Zhao, Shiqing Tang and Yize Sun

Renewable Energy, 2020, vol. 153, issue C, 1174-1182

Abstract: This paper proposes an efficient parameters extraction method for the two-diode model of photovoltaic cell and cells. Based on the data at standard test conditions provided by the photovoltaic datasheets, the parameters are all extracted by using derivative method at maximum power point and mountain-climbing algorithm, then the proposed two-diode model of the current voltage characteristic I–V of photovoltaic cell and cells are obtained. Compared with the popular Rp model and Ishaque’s two-diode model, The proposed two-diode model show that the accuracy is significantly higher than Rp model all the time, especially at the maximum power point. In addition, the parameters at different irradiance level and temperature are extracted, which also can simulate the current voltage characteristic I–V successfully at any condition, compared with experimental data.

Keywords: Photovoltaic cell and cells; Two-diode model; Parameters extraction; Mountain-climbing algorithm (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:153:y:2020:i:c:p:1174-1182

DOI: 10.1016/j.renene.2020.02.084

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