研究目的
To configure power circuit using distributed maximum power point tracking (DMPPT) with a fly-back converter, optimize power and reduce fluctuations around maximum power point under different operational conditions.
研究成果
The ZA-INC algorithm in DMPPT configuration optimizes power, reduces losses and fluctuations around maximum power point, and increases gain and tracking speed. It performs better under changing environmental conditions compared to P&O and INC algorithms.
研究不足
The study focuses on simulation results and may not account for all real-world operational conditions. The performance of MPPT algorithms is evaluated under specific scenarios of variable irradiation and temperature.
1:Experimental Design and Method Selection:
The study employs P&O, INC, and ZA-INC algorithms for MPPT in photovoltaic systems under variable irradiation with constant temperature and variable temperature with constant irradiation conditions.
2:Sample Selection and Data Sources:
Uses SX3200 W module under STC standard for simulation.
3:List of Experimental Equipment and Materials:
Includes flyback converter with specified parameters for simulation.
4:Experimental Procedures and Operational Workflow:
Simulates MPPT algorithms in MATLAB under specified conditions to analyze performance.
5:Data Analysis Methods:
Compares power output, fluctuations around maximum power point, and tracking speed of different MPPT algorithms.
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