研究目的
To present a thorough assessment of various Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems under varying atmospheric conditions.
研究成果
The intelligent MPPT controllers (FLC, NNC, SMC) demonstrate superior performance in terms of response time and reduction of fluctuations in the steady state compared to traditional methods (P&O, INC). The SMC algorithm is particularly effective, offering rapid convergence to the reference voltage with minimal oscillations.
研究不足
The study is based on simulation results, and real-world performance may vary due to unmodeled factors. The comparison is limited to the specified PV system configuration.
1：Experimental Design and Method Selection:
The study involves modeling and simulating five MPPT algorithms (P&O, INC, FLC, NNC, SMC) for a PV system consisting of a 50W PV panel and a Boost converter.
2：Sample Selection and Data Sources:
The PV system's performance is evaluated under varying illumination and temperature conditions.
3：List of Experimental Equipment and Materials:
A 50W PV panel and a Boost converter are used.
4：Experimental Procedures and Operational Workflow:
The MPPT algorithms are implemented in MATLAB Simulink, and their performances are compared based on efficiency, steady-state oscillation, and dynamic behavior.
5：Data Analysis Methods:
The simulation results are analyzed to evaluate the effectiveness of each MPPT technique.
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