研究目的
To improve and optimize the performance of the maximum power point tracker associated with the PV array using fuzzy logic technology and compare its behavior with the traditional P&O technique.
研究成果
The fuzzy logic controller based MPPT method effectively tracks the maximum power point under different ambient conditions, showing higher efficiency, faster response time, and lower error in the permanent state compared to the conventional P&O method. It is also robust against variations in atmospheric conditions.
研究不足
The study is based on simulation results under MATLAB/Simulink, and real-world application may present additional challenges not accounted for in the simulation.
1:Experimental Design and Method Selection:
The study compares the performance of a fuzzy logic controller (FLC) based MPPT with the traditional P&O method under various climatic conditions.
2:Sample Selection and Data Sources:
The PV array characteristics are based on the SPR-305-WHT PV module.
3:List of Experimental Equipment and Materials:
MATLAB/Simulink software is used for simulation.
4:Experimental Procedures and Operational Workflow:
Simulations are conducted under standard and unsteady environmental conditions to evaluate the response time and efficiency of both MPPT methods.
5:Data Analysis Methods:
The performance of both methods is analyzed based on output power and voltage under different conditions.
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