研究目的
To overcome the limitations of existing MPPT algorithms for photovoltaic arrays under uneven illumination environments by proposing an improved Fibonacci search algorithm that ensures quick and accurate tracking of the maximum power point (MPP) under both uniform and non-uniform illumination conditions.
研究成果
The improved Fibonacci search algorithm effectively tracks the global MPP for photovoltaic arrays under both uniform and non-uniform illumination conditions. It demonstrates good anti-interference ability, fast search speed, and stable output power, making it suitable for any environment and PV array topology to improve output efficiency.
研究不足
The algorithm's accuracy is closely related to the mathematical model of the PV array, and errors in MPPT under non-uniform illumination environments may still exist. Additionally, the method requires precise measurement of environmental parameters to adjust the search intervals effectively.
1：Experimental Design and Method Selection:
The study employs an improved Fibonacci search algorithm for MPPT under varying illumination conditions. The methodology includes determining array topology, measuring light type, and pre-treating the system's characteristic curve to narrow the global MPP range.
2：Sample Selection and Data Sources:
The research uses a KG200GT PV module for simulation, with parameters defined for an improved double-diode model under standard and varying illumination conditions.
3：List of Experimental Equipment and Materials:
MATLAB simulation software is used for observing the search steps and real-time parameter changes in the Fibonacci method.
4：Experimental Procedures and Operational Workflow:
The process involves defining search intervals based on illumination levels and array structure, applying the improved Fibonacci algorithm for local peak detection in each interval, and comparing local extreme values to find the global MPP.
5：Data Analysis Methods:
The study analyzes the output power and voltage/current characteristics of PV arrays under different illumination conditions to validate the algorithm's efficiency and accuracy.
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