研究目的
To propose a modification of the traditional ‘perturb and observe’ algorithm for maximum power point tracking in photovoltaic systems under partially shaded conditions, aiming to track the global maximum power point efficiently.
研究成果
The proposed OC&P algorithm effectively tracks the global maximum power point under partially shaded conditions, outperforming the traditional P&O algorithm by reducing the time and iterations required to converge to the global maximum.
研究不足
The study is based on simulations, and real-world application may present additional challenges not accounted for in the simulation environment.
1：Experimental Design and Method Selection
The study involves modifying the traditional P&O algorithm to avoid iterative searches in local maxima and directly track the global maximum power point. Simulations are conducted using PSIM software to evaluate the algorithm's performance.
2：Sample Selection and Data Sources
The study uses photovoltaic panels reference KD240GH-2PB of KYOCERA under different irradiance and temperature conditions to simulate partial shading.
3：List of Experimental Equipment and Materials
Photovoltaic panels (KD240GH-2PB KYOCERA), SEPIC converter, PSIM software for simulation.
4：Experimental Procedures and Operational Workflow
The modified algorithm (OC&P) is applied to the photovoltaic system under various shading conditions. The system's performance is compared with the traditional P&O algorithm through simulations.
5：Data Analysis Methods
The performance of both algorithms is analyzed based on their ability to track the global maximum power point under different shading conditions.
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