研究目的
To propose a chaotic optimization approach (COA) for the accurate and efficient estimation of single-diode and two-diode solar cell parameters using experimentally determined current-voltage (I-V) characteristics.
研究成果
The COA-based approach demonstrates superior accuracy and efficiency in estimating solar cell parameters compared to existing methods. It offers a simple implementation and lower computational complexity, making it suitable for practical applications in PV system design and analysis.
研究不足
The study focuses on specific solar cell models (single-diode and two-diode) and may require adaptation for other models. The COA's performance is compared under controlled laboratory conditions, and its effectiveness in real-world, variable environments needs further validation.
1：Experimental Design and Method Selection:
The study employs COA based on the logistic map for parameter estimation, leveraging its simplicity and effectiveness in dealing with nonlinear equations.
2：Sample Selection and Data Sources:
Utilizes experimental I-V characteristics from manufacturer datasheets and laboratory measurements under varying solar irradiation and temperature conditions.
3：List of Experimental Equipment and Materials:
Includes solar modules, a TES 1333R solar power meter, a lamp simulating sunlight, and a USB Data Monitor for data acquisition.
4：Experimental Procedures and Operational Workflow:
Involves measuring I-V characteristics under controlled conditions, applying COA for parameter estimation, and comparing results with other techniques.
5：Data Analysis Methods:
Uses root mean square error (RMSE) to evaluate the accuracy of estimated parameters against measured data.
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