研究目的
To optimize P&O-PI MPPT controller via the GA technique to increase the tracking response of MPP with high efficiency and to compare the performance of single-axis and dual-axis tracking systems to an identical fixed inclination system.
研究成果
The GA-optimized P&O-PI MPPT controller shows better performance in tracking the maximum power point under rapidly changing weather conditions. Both single-axis and dual-axis tracking systems are more efficient in terms of electrical energy output compared to the fixed mount system, with the dual-axis system showing an improvement of about 30% in energy efficiency.
研究不足
The study is based on simulation results using MATLAB/SIMULINK, which may not fully capture real-world conditions. The performance comparison is limited to two typical days in different seasons.
1:Experimental Design and Method Selection:
The study employs a genetic algorithm to optimize the P&O-PI MPPT controller for PV systems. It compares the performance of fixed, single-axis, and dual-axis tracking systems under different weather conditions.
2:Sample Selection and Data Sources:
Theoretical meteorological data based on the Liu & Jordan model for Gharda?a city is used. Two typical days, one in winter and one in summer, are chosen for analysis.
3:List of Experimental Equipment and Materials:
A 6 kWp PV generator with specific characteristics is used. MATLAB/SIMULINK is employed for simulations.
4:Experimental Procedures and Operational Workflow:
The GA is applied to find optimal gains for the PI controllers. The performance of the tracking systems is evaluated based on electrical energy output.
5:Data Analysis Methods:
The effectiveness of the proposed algorithm is assessed using a quadratic criterion. Simulation results are analyzed to compare the energy efficiency of different tracking systems.
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