研究目的
Investigating the use of artificial intelligence in maximum power tracking techniques for partially shaded photovoltaic systems.
研究成果
The PSO algorithm was the fastest in tracking the maximum power point, while the ABC algorithm was the most accurate. The choice of algorithm depends on the designer's preference for speed or accuracy.
研究不足
The study is based on simulations, which may not fully capture real-world conditions. The performance of the algorithms may vary with different photovoltaic systems and shading patterns.
1：Experimental Design and Method Selection:
The study compares three swarm optimization techniques (PSO, FFA, ABC) for MPPT in photovoltaic systems under partial shading conditions.
2：Sample Selection and Data Sources:
A string of four BYD 205Wp photovoltaic modules was used in simulations.
3：List of Experimental Equipment and Materials:
PSIM software for simulation, BYD photovoltaic modules, DC-DC and DC-AC converters.
4：Experimental Procedures and Operational Workflow:
Simulations were performed under six partial shading conditions to evaluate the performance of each method.
5：Data Analysis Methods:
The performance of each method was analyzed based on tracking speed and accuracy.
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