Torque estimator using MPPT method for wind turbines
Author(s) -
Youssef Baala,
Seddik Bri
Publication year - 2020
Publication title -
international journal of electrical and computer engineering (ijece)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i2.pp1208-1219
Subject(s) - control theory (sociology) , stator , maximum power point tracking , wind power , turbine , computer science , torque , direct torque control , induction generator , vector control , controller (irrigation) , power (physics) , voltage , induction motor , engineering , inverter , physics , control (management) , artificial intelligence , agronomy , electrical engineering , biology , thermodynamics , quantum mechanics , mechanical engineering
In this work, we presents a control scheme of the interface of a grid connected Variable Speed Wind Energy Generation System based on Doubly Fed Induction Generator (DFIG). The vectorial strategy for oriented stator flux GADA has been developed To extract the maximum power MPPT from the wind turbine. It uses a second order sliding mode controller and Kalman observer, using the super twisting algorithm. The simulation describes the effectiveness of the control strategy adopted.For A step and random profiles of the wind speed, reveals better tracking and perfect convergence of electromagnetic torque and concellation of reactive power to the stator. This control limits the mechanical stress on the tansmission shaft, improves the quality of the currents generated on the grid and optimizes the efficiency of the conversion chain.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom