This paper presents modeling and simulation of a grid connected photovoltaic (PV) generation system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system is composed of a PV array, boost converter with MPPT and a single phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is more efficient in finding the maximum power point than the conventional incremental conductance method when the PV system is subjected to variations in external operating conditions (insulation level and module temperature).
Implementation of a novel fuzzy-logic based MPPT for grid-connected photovoltaic generation system
MENNITI, Daniele;PINNARELLI, ANNA;
2011-01-01
Abstract
This paper presents modeling and simulation of a grid connected photovoltaic (PV) generation system with maximum power point tracking (MPPT) using a novel fuzzy logic controller (FLC). The system is composed of a PV array, boost converter with MPPT and a single phase inverter connected to utility grid. The MPPT is based on fuzzy logic to control IGBT switch of the boost converter. The performance of the proposed FLC for MPPT is evaluated by simulation and the results show that the FLC is more efficient in finding the maximum power point than the conventional incremental conductance method when the PV system is subjected to variations in external operating conditions (insulation level and module temperature).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
