MATLAB Implementation of Hybrid PO PSO MPPT for solar PV system
Introduction
We delve into the hybrid Particle Swarm Optimization (PSO) Maximum Power Point Tracking (MPPT) for solar photovoltaic (PV) systems. This innovative approach aims to optimize power extraction from solar panels, particularly under varying irradiation conditions, including partial shading.
Overview of Hybrid PSO MPPT
Configuration: The hybrid PSO MPPT setup consists of three solar panels connected in series, each capable of experiencing different irradiation levels.
Boost Converter: This configuration utilizes a boost converter controlled by the hybrid MPPT algorithm, which manages power flow to maximize energy extraction from the PV system.
Challenges with Traditional MPPT Algorithms
Limitations of PO and PSO: The traditional Perturb and Observe (PO) algorithm often struggles to find the global maximum power point (MPP), while PSO can be time-consuming if the population size is large.
Hybrid Solution: By combining PO and PSO, the hybrid algorithm addresses these limitations, allowing for faster identification of the global MPP.
Operation Modes of the Hybrid MPPT
The hybrid MPPT can operate in three modes:
Hybrid BO and PSO Mode
PSO MPPT Mode
PO Mode
A selector switch allows users to choose the desired operating mode based on specific needs.
Simulation Insights
Simulation Setup: The simulation features three PV cells, maintaining a total system rating of 250 watts at a temperature of 25°C. Variations in irradiation are introduced to assess performance under different conditions.
Performance Evaluation:
The hybrid PSO MPPT demonstrated the fastest response in tracking maximum power points compared to traditional PO and PSO methods.
In testing under partial shading, the hybrid method consistently outperformed the other algorithms, achieving quicker tracking times.
Conclusion
The hybrid PO PSO MPPT algorithm presents a robust solution for enhancing power extraction from solar PV systems, especially in conditions of partial shading.
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