研究目的
To improve the estimation of parameters of solar photovoltaic models by proposing an approach based on lightning attachment procedure optimization that takes into account the uncertainties of measurements.
研究成果
The proposed method achieves much better performance in comparison with well-established algorithms, confirming that it is a valuable tool for estimating PV parameters. Future work could apply this technique to solve other optimization problems in the energy field.
研究不足
The performance of the algorithms can be affected by an incorrect choice of their parameters. The problem of measurement uncertainties has not been considered in prior work on metaheuristic methods.
1：Experimental Design and Method Selection:
The approach includes three steps: conventional parameter extraction, determination of partial uncertainties, and determination of instantaneous parameters.
2：Sample Selection and Data Sources:
Measurements are performed on a silicon solar cell from RTC France and solar modules (Photowatt-PWP 201, monocrystalline STM6-40/36, and polycrystalline STP6-120/36) under specific conditions.
3：List of Experimental Equipment and Materials:
MATLAB (2018b) software is used for simulations.
4：Experimental Procedures and Operational Workflow:
The LAPO algorithm is applied with specific parameters (population size, maximum iterations) to estimate parameters.
5：Data Analysis Methods:
The root-mean-square error (RMSE) is used to compare the proposed method with well-established algorithms.
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