研究目的
Investigating the application of the Dragonfly Algorithm in optimizing the parameters of a solar cell single diode model to improve efficiency, accuracy, and reliability.
研究成果
The Dragonfly Algorithm alone cannot reliably extract the parameters of the single diode model for solar cells, as it suffers from stagnation and premature convergence issues. Future improvements could involve hybridizing DA with other algorithms to enhance its exploration capability.
研究不足
The Dragonfly Algorithm shows inconsistency in optimizing the SDM parameters, with a relatively high standard deviation, indicating potential stagnation and premature convergence problems leading to local optima solutions.
1：Experimental Design and Method Selection:
The study employs the Dragonfly Algorithm (DA) for optimizing the parameters of a single diode model (SDM) of a solar cell. The methodology includes comparing the results with NM-PSO and IJAYA algorithms.
2：Sample Selection and Data Sources:
The data source is the measurement data from a 57 mm diameter commercial (R.T.C. France) silicon solar cell.
3：List of Experimental Equipment and Materials:
MATLAB R? 2015a environment, Intel R? CoreTM i5 CPU, 2.5 GHz and 4 GB RAM.
4：5 GHz and 4 GB RAM.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The DA is set to extract the parameters of SDM, with population size set to 70 and maximum iterations at
5：Data Analysis Methods:
50 The performance is analyzed using root mean square error (RMSE), individual absolute error (IAE), and relative error (RE).
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