Maximum power extraction technique (MPPT) is very vital in case of a an off-grid photovoltaic (PV) system. For this purpose, Perturb & Observe (P&O) algorithm is one of the most explored techniques for itseasy implementation. However, conventional-P&O is less compatible to nonlinear dynamics of a PV system. This problem can be overcome using a metaheuristic-based P&O scheme. Therefore, metaheuristic optimization based maximum power extraction scheme is formulated for a PV system in this paper. Here, Particle swarm optimization (PSO) algorithm is chosen as the metaheuristic optimization algorithm as it is already established in other fields. The proposed PSO-P&O based maximum power extraction scheme consists both the advantages of PSO (accuracy) and P&O (easy implementation). An off-grid PV model is constructed and simulated in MATLAB/SIMULINK platform. Further, to test its efficiency, results obtained from it are correlated to conventional-P&O technique. All results are infavors of the proposed scheme.
A Metaheuristic Technique Based MPPT for An Off-grid Photovoltaic Based Microgrid System
09.08.2023
449531 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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