Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

This research validates An Adaptive Fuzzy Logic Controller (AFLC) has been developed for grid-connected photovoltaic (PV) systems. The primary objective of this implementation is to enhance the PV ...

Abstract: This paper presents direct power control (DPC) method of doubly fed induction generator (DFIG) for wind energy conversion-based system. Fuzzy Logic Control (FLC) technique is applied with ...

This paper provides an in-depth analysis of photovoltaic (PV) system control within the MATLAB/Simulink environment, focusing on optimizing Maximum Power Point Tracking (MPPT) algorithms for enhanced ...

Abstract: This research paper introduces a simulation model of a fuzzy logic-based Peak Power Point Tracking controller utilizing a boost converter to optimize energy yield in standalone photovoltaic ...

With the increase of the penetration rate of wind power in the power grid, the high proportion of renewable energy and the high proportion of power electronic equipment in the power system will ...

The large-scale new energy sources such as photovoltaic power generation reduces the original damping and inertia of the power system, resulting in the oscillation of the system. Self-adaptive virtual ...

1 Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia. 2 Hatem Bettaher Research ...

Maximum power point tracking (MPPT) controllers play an important role in photovoltaic systems. They maximize the output power of a PV array for a given set of conditions. This paper presents an ...