Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm

A solar cell or photovoltaic (PV) module is electrically represented by an appropriate circuit model with certain defined parameters. The parameters are required to be correctly computed from solar cell characteristic and/or a set of experimental data for simulation and control of the PV system. How...

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Vydané v:Renewable energy Ročník 132; s. 425 - 438
Hlavní autori: Biswas, Partha P., Suganthan, P.N., Wu, Guohua, Amaratunga, Gehan A.J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.03.2019
Predmet:
Adaptive differential evolution algorithm
algorithms
Current-voltage characteristic
Double-diode model
equations
Parameter estimation
Photovoltaic module
population size
renewable energy sources
Single-diode model
solar cells
solar collectors
Double-diode model
Adaptive differential evolution algorithm
Parameter estimation
Single-diode model
Photovoltaic module
Current-voltage characteristic
ISSN:0960-1481, 1879-0682
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Shrnutí:A solar cell or photovoltaic (PV) module is electrically represented by an appropriate circuit model with certain defined parameters. The parameters are required to be correctly computed from solar cell characteristic and/or a set of experimental data for simulation and control of the PV system. However, experimental data or accurate characteristic data (i.e. current-voltage or I-V curve) of a PV module may not be readily available. The manufacturer of a PV system usually provides relevant information on open circuit, short circuit and maximum power points. Therefore, an alternate approach is to estimate the PV system parameters by utilizing the I-V characteristic data at these three major points. The process involves formulation and solution of complex non-linear equations from an adopted solar cell model. This paper proposes an application of an advanced adaptive differential evolution algorithm on the problem of PV module parameter estimation using minimum available information from the manufacturer datasheet by implementing single-diode and double-diode models. Linear population size reduction technique of success history based adaptive differential evolution (L-SHADE) algorithm is implemented to minimize the error of current-voltage relationships at the above-mentioned three important points defining the I-V characteristic. The algorithm facilitates evolution of solutions that result in almost zero error (<10−12) at these three major points. All relevant parameters of the PV cell are optimized by the algorithm without any assumption or predetermination of parameters. It is observed that a set of feasible solutions (parameters) is obtained for the PV module from multiple runs of the algorithm. The fact of attaining several probable solutions from datasheet information using few other metaheuristics is also discussed in this work. •Single and double-diode circuit models of a PV module are analyzed.•Minimum datasheet information is utilized to formulate the optimization objective.•Application of an adaptive differential evolution algorithm is described in detail.•A set of probable optimal cell parameters is obtained from multiple runs.•The importance of experimental data on cell I-V characteristic is substantiated.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2018.07.152