Open AccessIndirect power control of DFIG based on wind turbine operating in MPPT using backstepping approach
Author(s) -
Yahya Dbaghi,
S. Farhat,
Mohamed Mediouni,
Hassan Essakhi,
Aicha Elmoudden
Publication year - 2021
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.v11i3.pp1951-1961
Subject(s) - control theory (sociology) , backstepping , stator , robustness (evolution) , turbine , maximum power point tracking , wind power , computer science , matlab , maximum power principle , ac power , power control , transient (computer programming) , rotor (electric) , doubly fed electric machine , power (physics) , engineering , inverter , adaptive control , control (management) , physics , mechanical engineering , operating system , biochemistry , chemistry , quantum mechanics , electrical engineering , artificial intelligence , gene
This paper describes a MPPT control of the stator powers of a DFIG operating within a wind energy system using the backstepping control technique. The objective of this work consists of providing a robust control to the rotor-side converter allowing the stator active power to be regulated at the maximum power extracted from the wind turbine, as well as maintaining the stator reactive power at zero to maintain the power factor at unity, under various conditions. We have used the Matlab/Simulink platform to model the wind system based on a 7.5 kW DFIG and to implement the MPPT control algorithm in a first step, then we have implemented the field-oriented control and the backstepping controller in a second step. The simulation results obtained were very satisfactory with a fast transient response and neglected power ripples. They furthermore confirmed the high robustness of the approach used in dealing with the variation of the internal parameters of the machine.