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Parameter estimation of single diode PV module based on Nelder-Mead optimization algorithm

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Purpose This paper proposes a simple, derivative free novel method named as Nelder-Mead (NM) optimization algorithm to estimate the unknown parameters of the PV module considering the environmental conditions. Design/methodology/approach… Click to show full abstract

Purpose This paper proposes a simple, derivative free novel method named as Nelder-Mead (NM) optimization algorithm to estimate the unknown parameters of the PV module considering the environmental conditions. Design/methodology/approach At a particular temperature and irradiation, experimental current-voltage (I-V) and power-voltage (P-V) characteristics are drawn and considered as a reference model. The PV system model with unknown model parameters is considered as the adaptive model whose unknown model parameters are to be adapted so that the simulated characteristics closely matches with the experimental characteristics. A single diode (Rsh) model with five unknown model parameters is considered here for the parameter estimation. Findings The key advantages of this method are (i) parameters are estimated considering environmental condition (ii) experimental characteristics are considered for parameter estimation which give accurate results (iii) the parameters are estimated considering both I-V and P-...

Keywords: mead optimization; nelder mead; parameter estimation; model; optimization algorithm

Journal Title: World Journal of Engineering
Year Published: 2018

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