研究目的
Investigating the implementation of a maximum power point tracking algorithm for a photovoltaic panel using model predictive control to enhance energy production efficiency.
研究成果
The proposed predictive control model shows a 2% improvement in performance over the P & O method, with better adaptability and response time to adjust control actions. It is suitable for quickly changing environmental conditions, enhancing energy capture from photovoltaic systems.
研究不足
The study is based on simulations and lacks real-world testing. The predictive controller model could be improved by considering a non-linear model of the photovoltaic system.
1：Experimental Design and Method Selection:
The study proposes a mathematical model of a solar panel based on Predictive Control by Model, utilizing a prediction horizon for future actions.
2：Sample Selection and Data Sources:
The model is simulated in Matlab with data variation of irradiance obtained from Simulink.
3：List of Experimental Equipment and Materials:
Solar panel, Matlab, Simulink.
4：Experimental Procedures and Operational Workflow:
Implementation of the algorithm in Matlab, comparison with the P & O system through repetitiveness tests.
5：Data Analysis Methods:
Comparison of tracking efficiency between the proposed model and the P & O method under varying irradiance conditions.
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