研究目的
To improve the tracking speed and efficiency of global maximum power point tracking (GMPPT) under partial shading conditions in photovoltaic (PV) systems, decrease oscillation, and avoid restarting the algorithm.
研究成果
The proposed hybrid MPPT algorithm demonstrates superior performance in tracking speed, efficiency, and dynamic response under partial shading conditions compared to traditional methods. It effectively reduces oscillation and avoids unnecessary restarts, making it suitable for practical PV system applications. Future work will include comparisons with other intelligent algorithms.
研究不足
The study focuses primarily on P&O-based algorithms and does not compare with other intelligent algorithms like ANN and FL. Additionally, the simulation is conducted using a software model without physical hardware validation.
1：Experimental Design and Method Selection:
The study employs a hybrid algorithm combining five methods (global scanning, filtering, binary searching, three-point, and anti-restarting) to address the challenges of MPPT under partial shading conditions.
2：Sample Selection and Data Sources:
The algorithm is tested on a series PV system model composed of three PV modules with different shading coefficients (
3：6, 8, and 1). List of Experimental Equipment and Materials:
The simulation is performed using Qt programming on a Windows7 x64 operating system, without specifying hardware.
4：Experimental Procedures and Operational Workflow:
The algorithm's performance is evaluated under standard, dynamic solar irradiation, and dynamic temperature conditions, comparing it with two existing methods (P&O_GS and P&O_CH).
5：Data Analysis Methods:
The tracking efficiency is calculated by integrating the power-time curve and comparing it with the rated power to assess performance.
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