研究目的
To propose an adaptive step size proportional to the difference between actual and previous power sample for photovoltaic maximum power point tracking, providing a fast time response and reducing the oscillations at steady-state, and to use clustering to eliminate the loss by power oscillations.
研究成果
The proposed adaptive perturb and observe method with clustering provides a faster time response and eliminates oscillations at steady-state, improving the efficiency of photovoltaic systems under partial shading conditions. The use of a smart bypass diode per cell increases the tolerance to partial shading, allowing more than 90% of the module's cells to continue supplying power even under shading conditions.
研究不足
The adaptive step size reduces but does not eliminate oscillations at steady-state, and the clustering introduces a small delay in the system response.
1：Experimental Design and Method Selection:
The study models and simulates a 72-cell photovoltaic module with a smart bypass diode per cell under partial shading conditions using MATLAB/Simulink. An adaptive perturb and observe method with clustering is proposed to improve the maximum power point tracking.
2：Sample Selection and Data Sources:
The PV module used is the model Max Power CS6U, Canadian, 330 Wp, 72 cells, polycrystalline silicon.
3：List of Experimental Equipment and Materials:
MATLAB/Simulink software for modeling and simulation.
4：Experimental Procedures and Operational Workflow:
The adaptive step size is proportional to the power difference, and clustering uses the simple average of the last five voltage samples to eliminate oscillations at steady-state.
5：Data Analysis Methods:
The performance of the proposed method is analyzed in terms of time response and elimination of oscillations at steady-state.
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