研究目的
Comparing three techniques for maximum power point tracking of a solar PV: Fuzzy logic, perturb and observe (P&O), and increment conductance method (IC), to determine which provides better and more reliable performance.
研究成果
The Fuzzy logic control technique provides a better and more reliable performance than the conventional P&O and IC methods, with faster tracking of the MPP and minimized power oscillations. However, the implementation of Fuzzy logic is more complex and requires careful tuning of membership functions and rule-base tables.
研究不足
The study is based on simulations, and real-world conditions may introduce additional variables not accounted for. The effectiveness of the Fuzzy Logic Controller depends on the designer's knowledge and experience in selecting suitable inputs and tuning the rule-base table.
1：Experimental Design and Method Selection:
The study compares the performance of Fuzzy logic, P&O, and IC methods in tracking the maximum power point (MPP) of a solar PV system under varying conditions.
2：Sample Selection and Data Sources:
A mathematical model of a PV module was created in Simulink, and simulations were run under different static and rapid varying irradiance conditions.
3：List of Experimental Equipment and Materials:
PV module specifications and boost converter specifications were used in the simulations.
4：Experimental Procedures and Operational Workflow:
Simulations were conducted to observe the tracking efficiency, convergence speed, and stability of each MPPT technique under different irradiance levels.
5：Data Analysis Methods:
The tracking efficiency of each method was calculated, and the performance was analyzed based on the simulation results.
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