Fuzzy logic Controller Based MPPT For a Photovoltaic System

Dhaouadi Guiza, Djamel Ounnas, Youcef Soufı, Abdelmalek Bouden

20212021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA11 citationsDOI

Abstract

The performance of photovoltaic (PV) generator is investigated in this research given its importance as part of the smart grid structure, where the tracking of the maximum power is essential to raise the efficiency of the PV system and it is possible by many methods to control which is known as MPPT (Maximum Power Point Tracking. The main drawback of these methods is their misinterpretation of MPP (Maximum Power Point) location during a sudden change in climatic conditions, and also have oscillations around the PPM. The goal of this work is to improve the PV system efficiency by using a Fuzzy Logic Controller (FLC) under the change of climatic conditions. Simulation results demonstrate that the PV system can be controlled perfectly by an FLC controller-based MPPT and has a better performance compared to the conventional algorithms.

Topics & Concepts

Maximum power point trackingPhotovoltaic systemControl theory (sociology)Maximum power principleFuzzy logicComputer scienceController (irrigation)Power (physics)Grid-connected photovoltaic power systemFuzzy control systemControl engineeringEngineeringControl (management)Artificial intelligenceElectrical engineeringInverterPhysicsQuantum mechanicsAgronomyBiologyPhotovoltaic System Optimization TechniquesSolar Radiation and PhotovoltaicsAdvanced Battery Technologies Research