CPES 2024 Paper Abstract

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Paper FriS1T1.4

ZHANI, Naoufal (Mohammed V University in Rabat), Mahmoudi, hassan (Mohammedia School’s of Engineer, LEEP, Mohamed V University, Agd)

Comparison of the performance of MPPT control techniques (Fuzzy Logic, Incremental Conductance and Perturb & Observe) under MATLAB/Simulink under MATLAB/SIMULINK

Scheduled for presentation during the Regular Session "Photovoltaic systems control " (FriS1T1), Friday, July 12, 2024, 10:00−10:20, Salle des conférences

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Keywords Operation and Control of Renewable Energy Systems, Converter Modeling, Simulation and Control, Stability Analysis and Control in Energy Systems

Abstract

The non-linear output of a photovoltaic (PV) panel under different irradiance and temperature values poses a challenge for the design of maximum power point trackers (MPPT). This paper presents a comparative study between three MPPT control techniques, one based on an artificial intelligence approach "Fuzzy Logic" and the other two based on conventional techniques "Incremental Conductance" and "Perturb & Observe" on the same photovoltaic system with the same static DC-DC converter of "Boost" type. Through this comparative study, insights into the effectiveness and performance differences among these control techniques are provided. A behavioral analysis of the three systems in terms of speed, accuracy, and stability has been established through a simulation under MATLAB/Simulink.

 

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