Open AccessDesign and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator
Author(s) -
Bouchaib Rached,
Mustapha Elharoussi,
Elhassane Abdelmounim
Publication year - 2020
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v10i5.pp4770-4781
Subject(s) - control theory (sociology) , maximum power point tracking , robustness (evolution) , wind power , induction generator , turbine , maximum power principle , computer science , matlab , pid controller , wind speed , power (physics) , photovoltaic system , control engineering , engineering , temperature control , control (management) , physics , inverter , artificial intelligence , chemistry , operating system , biochemistry , quantum mechanics , mechanical engineering , meteorology , electrical engineering , gene
The purpose of this work is to design and to discuss various strategies to optimize the production of a wind energy conversion chain based on the doubly fed induction generator (DFIG), by capturing the maximum power at the wind turbine, using maximum power point tracking (MPPT) and pitch control. The proposed controls allow the generator to monitor the optimal operating points of the turbines regardless of wind speed variations, system parameters disturbance, and parameters variation. Simulation of WECS based on a 1.5 MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI controller (PIC), RST controller and fuzzy logic controller (FLC). Analysis and comparisons are made for different operating scenarios: Reference tracking, robustness under variable wind speed conditions and parameters variation. The application of FLC provides a very interesting outcome for the robustness and the dynamic challenges.