The aim of this work is to implement and comparative study between two MPPT control strategies of the PV module to meet the load requirements. It consists of a photovoltaic module (PV) associated with a SEPIC converter driven by the fuzzy MPPT approach, connected with a resistive load. Many control strategies have been used for tracking the MPP of PV systems such as perturb and observe (P&O), and incremental conductance (INC), to achieve the desired output maximum power. The incremental conductance technique is complex but superior stability than the P&O to supply a PV system under specified climatic conditions. The comparison of the results obtained shows that the INC approach is highly efficient and provides a fast tracking speed for the maximum power output point of a photovoltaic panel. The implementation of the system is performed with MATLAB/SIMULINK environment.

Fuzzy Logic based MPPT Control Strategies of PV Systems / Riahi, J.; Nasri, H.; Vergura, S.; Taghouti, H.. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023 tenutosi a uc3m, esp nel 2023) [10.1109/EEEIC/ICPSEurope57605.2023.10194707].

Fuzzy Logic based MPPT Control Strategies of PV Systems

Riahi J.;Vergura S.
;
2023-01-01

Abstract

The aim of this work is to implement and comparative study between two MPPT control strategies of the PV module to meet the load requirements. It consists of a photovoltaic module (PV) associated with a SEPIC converter driven by the fuzzy MPPT approach, connected with a resistive load. Many control strategies have been used for tracking the MPP of PV systems such as perturb and observe (P&O), and incremental conductance (INC), to achieve the desired output maximum power. The incremental conductance technique is complex but superior stability than the P&O to supply a PV system under specified climatic conditions. The comparison of the results obtained shows that the INC approach is highly efficient and provides a fast tracking speed for the maximum power output point of a photovoltaic panel. The implementation of the system is performed with MATLAB/SIMULINK environment.
2023
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023
979-8-3503-4743-2
Fuzzy Logic based MPPT Control Strategies of PV Systems / Riahi, J.; Nasri, H.; Vergura, S.; Taghouti, H.. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023 tenutosi a uc3m, esp nel 2023) [10.1109/EEEIC/ICPSEurope57605.2023.10194707].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/258360
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