DAHMANE, Kaoutar (Ibn Zohr University, Agadir, Morocco), Bouachrine, Brahim (Ibn Zohr University, Agadir, Morocco), AJAAMOUM, Mohamed (Ibn Zohr University, Agadir, Morocco), IMODANE, Belkasem (Ibn Zohr University, Agadir, Morocco), BENYDIR, Mohamed (Ibn Zohr University, Agadir, Morocco), El Idrissi, Abdellah (Ibn Zohr University, Agadir, Morocco), Mandal, Kuntal (Universitat Rovira i Virgili), El Aroudi Chaoui, Abdelali (Universitat Rovira i Virgili)

Fuzzy Logic Based Adaptive P&O MPPT Control of a DC-DC Boost Converter Used in a Wind Energy Conversion System with a Permanent Magnet Synchronous Generator

Scheduled for presentation during the Regular Session "Wind and wave energy production systems" (ThuS3T4), Thursday, July 11, 2024, 16:50−17:10, Session room 4

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

Abstract

In this paper, we present a Maximum Power Point Tracking (MPPT) algorithm employing Perturb and Observe (P&O) using Fuzzy Logic (FL) control to overcome limitations associated with the conventional P&O MPPT method in order to improve transient response and reduce steady-state terminal voltage oscillations. In particular, the FL approach was applied to define the perturbation amplitude for the P&O MPPT algorithm, according to the ratio between the incremental power and incremental voltage in the input of a DC-DC boost converter. The approach was a variable speed wind power conversion chain based on the permanent magnet synchronous machine. The MPPT control continuously adjusts the duty cycle of the DC-DC converter to maintain the wind turbine at the maximum power point. MATLAB-SIMULINK environment is used to simulate the entire system demonstrating the extraction of the maximum available power from the wind turbine under a varying wind speed.