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
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 con...
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National Technical University "Kharkiv Polytechnic Institute"
2021
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oai:doaj.org-article:52a31d341d194b72a010d0c2f39c44942021-12-02T18:59:34ZIndirect 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 algorithms10.20998/2074-272X.2021.4.042074-272X2309-3404https://doaj.org/article/52a31d341d194b72a010d0c2f39c44942021-07-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/229790/236487https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Aim. 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.H. BenbouhenniA. DrissS. LemdaniNational Technical University "Kharkiv Polytechnic Institute"articledoubly fed induction generatorspulse width modulationneuro-fuzzy algorithmsindirect field-oriented controlElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 4, Pp 31-38 (2021) |
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doubly fed induction generators pulse width modulation neuro-fuzzy algorithms indirect field-oriented control Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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doubly fed induction generators pulse width modulation neuro-fuzzy algorithms indirect field-oriented control Electrical engineering. Electronics. Nuclear engineering TK1-9971 H. Benbouhenni A. Driss S. Lemdani 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 |
description |
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. |
format |
article |
author |
H. Benbouhenni A. Driss S. Lemdani |
author_facet |
H. Benbouhenni A. Driss S. Lemdani |
author_sort |
H. Benbouhenni |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
National Technical University "Kharkiv Polytechnic Institute" |
publishDate |
2021 |
url |
https://doaj.org/article/52a31d341d194b72a010d0c2f39c4494 |
work_keys_str_mv |
AT hbenbouhenni indirectactiveandreactivepowerscontrolofdoublyfedinductiongeneratorfedbythreeleveladaptivenetworkbasedfuzzyinferencesystempulsewidthmodulationconverterwitharobustmethodbasedonsupertwistingalgorithms AT adriss indirectactiveandreactivepowerscontrolofdoublyfedinductiongeneratorfedbythreeleveladaptivenetworkbasedfuzzyinferencesystempulsewidthmodulationconverterwitharobustmethodbasedonsupertwistingalgorithms AT slemdani indirectactiveandreactivepowerscontrolofdoublyfedinductiongeneratorfedbythreeleveladaptivenetworkbasedfuzzyinferencesystempulsewidthmodulationconverterwitharobustmethodbasedonsupertwistingalgorithms |
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