研究目的
To propose an efficient technique for estimating the solar cell parameters by introducing a new objective function based on non-linear equation of Lambert for parameter extraction from experimental data using genetic algorithms (GAs).
研究成果
The proposed genetic algorithm with Lambert W-function as objective function outperforms other metaheuristic algorithms in accurately estimating the parameters of solar cells and photovoltaic modules. The results obtained are in good agreement with those published previously, indicating the method's effectiveness and reliability.
研究不足
The study focuses on the single diode model of solar cells and modules, and the proposed method's performance is compared with other metaheuristic algorithms such as GA classical, SA, PS. The method's applicability to other models or under different conditions is not explored.
1：Experimental Design and Method Selection:
The study uses a computational based binary-coded genetic algorithm (GA) to extract the parameters for a single diode model of solar cell from its current-voltage (I–V) characteristic. The algorithm was implemented using Matlab.
2：Sample Selection and Data Sources:
The characterization, current-voltage data used was generated by simulating a one-diode solar cell model of specified parameters. Experimental data of a silicon solar cell and a solar module were considered for testing.
3：List of Experimental Equipment and Materials:
A 57 mm diameter commercial (R.T.C France) silicon solar cell under 1 sun (1000 W/m2) at 33°C and a solar module with 36 polycrystalline silicon cells (60 W) connected in series under 1 sun (1000 W/m2) at 45°C.
4：Experimental Procedures and Operational Workflow:
The proposed technique is applied to extract the parameters of different solar cell models and photovoltaic module. The objective function is minimized to reach an optimal set of parameters.
5：Data Analysis Methods:
The root mean squared error (RMSE), the mean bias error (MBE) and the mean absolute error (MAE) are used for statistical analysis of the results.
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