Doubly-fed induction generator drive based WECS using fuzzy logic controller
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Date
2015-09
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Higher Education Press
Abstract
The purpose of this paper is to improve the
control performance of the variable speed, constant
frequency doubly-fed induction generator in the wind
turbine generation system by using fuzzy logic controllers.
The control of the rotor-side converter is realized by stator
flux oriented control, whereas the control of the grid-side
converter is performed by a control strategy based on grid
voltage orientation to maintain the DC-link voltage
stability. An intelligent fuzzy inference system is proposed
as an alternative of the conventional proportional and
integral (PI) controller to overcome any disturbance, such
as fast wind speed variation, short grid voltage fault,
parameter variations and so on. Five fuzzy logic controllers
are used in the rotor side converter (RSC) for maximum
power point tracking (MPPT) algorithm, active and
reactive power control loops, and another two fuzzy
logic controllers for direct and quadratic rotor currents
components control loops. The performances have been
tested on 1.5 MW doubly-fed induction generator (DFIG)
in a Matlab/Simulink software environment.
Description
Article
Keywords
fuzzy logic, wind turbine, vector control, doubly-fed induction generator (DFIG)
Citation
Dida, A., Ben Attous, D. Doubly-fed induction generator drive based WECS using fuzzy logic controller. Front. Energy 9, 272–281 (2015). https://doi.org/10.1007/s11708-015-0363-9