Efficiency analysis of a multi-fuzzy logic controller for the determination of operating points in a PV system

• A new multifuzzy logic MPPT controller incorporating PV system and converter parameters is proposed.
• Performance is evaluated with one day insolation data.
• Compared with fuzzy logic and P&O algorithm.

Photovoltaic power characteristics have multiple local and global maximum power operating points due to nonlinear solar insolation. To track the operating point exactly, suitable algorithm is needed. In this paper, a new multi-fuzzy logic based maximum power point tracking controller is proposed and the tracking performance is examined with one day solar insolation data. The proposed algorithm follows current control for better performance of the converter. The output of the proposed method, that is the reference current, controls the DC–DC boost converter as per the changes of photovoltaic power, voltage, and converter duty cycle. Implementation is done in MATLAB/Simulink and the PV power is evaluated and its characteristics are compared. The comparative analysis with fuzzy logic controller and P&O algorithm shows that, the proposed controller takes less time to settle at the maximum power operating point, eliminated oscillation around the operating point and also reduced the steady state error by 1.29% and 1.76% respectively.