研究目的
To propose a particle swarm optimization (PSO) of the conversion system which improves the Maximum Power Point Tracking (MPPT) and ensures that the maximum power will be delivered despite of the partial shadowing condition.
研究成果
The proposed PSO-based optimization technique achieved an efficiency of up to 99.80% compared to the ideal PV generation case, with a convergence time of 987 ms. The residual difference is attributed to losses in the conversion system and the impact of the DC-DC converter operation steps on the power tracing.
研究不足
The study focuses on simulation results under specific partial shading conditions and does not address all possible real-world scenarios. The convergence time and efficiency of the PSO algorithm may vary with different system configurations.
1：Experimental Design and Method Selection:
The study employs the Particle Swarm Optimization (PSO) algorithm to optimize the operation of the DC-DC converter for maximum power point tracking under partial shading conditions.
2：Sample Selection and Data Sources:
The simulation uses a photovoltaic system with different shadowing conditions to test the PSO algorithm's efficiency.
3：List of Experimental Equipment and Materials:
A boost DC-DC converter with specified parameters is used in the simulation.
4：Experimental Procedures and Operational Workflow:
The PSO algorithm is applied to adjust the duty cycle of the DC-DC converter based on the photovoltaic panel's voltage and current readings.
5：Data Analysis Methods:
The power output is compared to an ideal control system to evaluate the PSO algorithm's performance.
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