研究目的
To present a modified particle swarm optimization (MPSO) based Maximum Power Point Tracking (MPPT) method for PV systems that integrates fractional open circuit voltage (FOCV) method to resolve issues faced by conventional PSO based MPPT methods.
研究成果
The modified PSO based MPPT method demonstrates superior performance in terms of tracking speed and efficiency, with minimal oscillations at the MPP compared to conventional PSO and P&O methods. The integration of FOCV for particle initialization near the MPP enhances the algorithm's effectiveness under varying irradiation conditions.
研究不足
The study focuses on the integration of FOCV with PSO for MPPT in PV systems under specific conditions. The performance under extreme environmental variations or with different PV module configurations was not explored.
1：Experimental Design and Method Selection:
The study integrates FOCV with PSO to initialize particles near the global MPP for faster convergence and reduced oscillations.
2：Sample Selection and Data Sources:
Simulation studies were conducted using MATLAB/SIMULINK, followed by experimental validation with a hardware prototype.
3：List of Experimental Equipment and Materials:
PV simulator (62050H-600S), TMS320F28335 micro-controller, boost converter, and VRLA batteries.
4：Experimental Procedures and Operational Workflow:
The proposed algorithm was tested under fixed and changing irradiation conditions to evaluate its performance against conventional PSO and P&O methods.
5：Data Analysis Methods:
The effectiveness of the proposed MPSO method was assessed based on convergence time, tracking speed, and oscillations at the MPP.
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