This paper deals with the integration and analysis of two different maximum power point tracking (MPPT) control methods, which are tested under temperature and irradiance variation. These MPPT methods, designed by fuzzy logic control (FLC) and Particle Swarm Optimization algorithm (PSO), have been created for photovoltaic systems (PV) and simulated to obtain the various system responses such as: duty cycle, voltage and power. A comparison between the performances of the FLC and PSO algorithms have been completed to confirm the best characteristics of FLC method in terms of rapidity, precision and simplicity.

Comparison of MPPT methods FLC PSO for PV system under variable irradiance and temperature

Ogliari E.;
2021

Abstract

This paper deals with the integration and analysis of two different maximum power point tracking (MPPT) control methods, which are tested under temperature and irradiance variation. These MPPT methods, designed by fuzzy logic control (FLC) and Particle Swarm Optimization algorithm (PSO), have been created for photovoltaic systems (PV) and simulated to obtain the various system responses such as: duty cycle, voltage and power. A comparison between the performances of the FLC and PSO algorithms have been completed to confirm the best characteristics of FLC method in terms of rapidity, precision and simplicity.
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
978-1-6654-1493-7
Fuzzy Logic Control (FLC)
Particle Swarm Optimization algorithm (PSO)
Photovoltaic (PV)
Tracking the Maximum Power Point (MPPT)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1203764
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