Indirect hybrid fuzzy-P&O variable step size MPTT controller improving performances under fast changing atmospheric conditions
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Abstract
In this paper, an indirect hybrid fuzzy-P&O variable step size MPPT controller has been proposed. The classical fixed step P&O MPPT algorithm is the most widely used due to its simplicity and easy implementation. However, this algorithm presents several low performance and steady state oscillation around the MPP affecting the convergence speed and prone to failure especially in fast changing atmospheric conditions. To overcome these drawbacks, the proposed MPPT controller uses the conventional P&O MPPT algorithm where the step size is drived using a fuzzy logic controller. The proposed controller is tested and validated under Matlab/Simulink environment where the entire model of the PV system including a Solarex MSX-60W module fed by DC-DC boost converter drived using the proposed hybrid fuzzy-PO MPPT controller is implemented. Result are presented showing a good improvement of the MPPT performances in dynamic and steady state responses.
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