access icon free Parameters extraction of photovoltaic sources based on experimental data

This article presents an accurate computational technique for estimating the photovoltaic (PV) cell parameters from experimental measurements of the current-voltage (IV) characteristics. The technique is based on using various evolutionary algorithms (EAs) and the double-diode eight-parameter cell model to precisely estimate unknown parameters. The proposed technique is implemented to extract the PV cell parameters of different manufacturer's modules by minimising the summation of absolute square errors between theoretical and measured IV output characteristics obtained under different irradiation levels. The effectiveness and robustness of the proposed technique are demonstrated via a comparative assessment of the measured output IV characteristics and those obtained by computer simulation, using Matlab SIMSCAPE library components. The good agreement obtained between theoretical and experimental results endorses the proposed approach to determine precisely the PV parameters required for power system studies. The proposed technique is useful power system studies with penetration of photovoltaic sources.

Inspec keywords: evolutionary computation; photovoltaic power systems; mathematics computing; solar cells

Other keywords: current-voltage; PV cell parameters; unknown parameters; theoretical results; PV parameters; experimental results; different irradiation levels; v output characteristics; eight-parameter cell model; absolute square errors; accurate computational technique; measured output; experimental measurements; Matlab SIMSCAPE library components; photovoltaic sources; computer simulation; v characteristics; evolutionary algorithms; experimental data; different manufacturer; parameters extraction; photovoltaic cell parameters

Subjects: Solar power stations and photovoltaic power systems; Solar cells and arrays; Optimisation techniques; Photoelectric conversion; solar cells and arrays; Optimisation techniques

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