Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms

Authors

DOI:

https://doi.org/10.20998/2074-272X.2021.4.04

Keywords:

doubly fed induction generators, pulse width modulation, neuro-fuzzy algorithms, indirect field-oriented control

Abstract

Aim. This paper presents the minimization of reactive and active power ripples of doubly fed induction generators using super twisting algorithms and pulse width modulation based on neuro-fuzzy algorithms. Method. The main role of the indirect active and reactive power control is to regulate and control the reactive and active powers of doubly fed induction generators for variable speed dual-rotor wind power systems. The indirect field-oriented control is a classical control scheme and simple structure. Pulse width modulation based on an adaptive-network-based fuzzy inference system is a new modulation technique; characterized by a simple algorithm, which gives a good harmonic distortion compared to other techniques. Novelty. adaptive-network-based fuzzy inference system-pulse width modulation is proposed. Proposed modulation technique construction is based on traditional pulse width modulation and adaptive-network-based fuzzy inference system to obtain a robust modulation technique and reduces the harmonic distortion of stator current. We use in our study a 1.5 MW doubly-fed induction generator integrated into a dual-rotor wind power system to reduce the torque, current, active power, and reactive power ripples. Results. As shown in the results figures using adaptive-network-based fuzzy inference system-pulse width modulation technique ameliorate effectiveness especially reduces the reactive power, torque, stator current, active power ripples, and minimizes harmonic distortion of current (0.08 %) compared to classical control.

Author Biographies

H. Benbouhenni, Nisantasi University, Turkey

Doctor of Electrical Engineering, Department of Electrical & Electronics Engineering

A. Driss, Ecole National Polytechnique School of Oran Maurice Audin, Algeria

Doctor of Electrical Engineering, Department of Electrical Engineering, LAAS Research Laboratory

S. Lemdani, University of Science and Technology of Oran-Mohamed-Boudiaf, Algeria

Doctor of Electrical Engineering, Department of Electrical Engineering

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Published

2021-07-29

How to Cite

Benbouhenni, H., Driss, A., & Lemdani, S. (2021). Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms. Electrical Engineering & Electromechanics, (4), 31–38. https://doi.org/10.20998/2074-272X.2021.4.04

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Section

Electrotechnical complexes and Systems