2019
DOI: 10.15546/aeei-2019-0010
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Stator Active and Reactive Power Ripples Minimization for DVC Control of Dfig by Using Five-Level Neural Space Vector Modulation

Abstract: This paper presents a direct vector control (DVC) strategy for the doubly fed induction generator (DFIG)based wind turbine systems. The major disadvantages that are usually associated with DVC control scheme are the electromagnetic torque, reactive power and active power ripples. To overcome these disadvantages an advanced five-level space vector modulation (5L-SVM) strategy based on neural networks (NNs) controller is proposed. The proposed controller is shown to be able to reduce the reactive and active powe… Show more

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Cited by 6 publications
(2 citation statements)
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References 5 publications
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“…In [45], five-level neural SVPWM technique reduce the torque and power ripple compared to two-level neural SVPWM technique of DFIG controlled by DVC control scheme. In [46], the DVC method based on five-level neural SVPWM strategy reduce the harmonic distortion of current compared to traditional DVC technique of DFIGURE [47], four-level neural SVPWM technique reduce the torque ripple compared to three-level neural SVPWM technique of DFIG controlled by indirect vector control (IVC). In [48], the IVC strategy based on five-level fuzzy SVPWM strategy minimize the torque and rotor flux ripples compared to traditional IVC control of DFIGURE [49], two-level fuzzy PWM strategy reduce the torque and rotor flux ripples compared to two-level neural SVPWM technique of DFIG controlled by neural SMC method.…”
Section: Introductionmentioning
confidence: 99%
“…In [45], five-level neural SVPWM technique reduce the torque and power ripple compared to two-level neural SVPWM technique of DFIG controlled by DVC control scheme. In [46], the DVC method based on five-level neural SVPWM strategy reduce the harmonic distortion of current compared to traditional DVC technique of DFIGURE [47], four-level neural SVPWM technique reduce the torque ripple compared to three-level neural SVPWM technique of DFIG controlled by indirect vector control (IVC). In [48], the IVC strategy based on five-level fuzzy SVPWM strategy minimize the torque and rotor flux ripples compared to traditional IVC control of DFIGURE [49], two-level fuzzy PWM strategy reduce the torque and rotor flux ripples compared to two-level neural SVPWM technique of DFIG controlled by neural SMC method.…”
Section: Introductionmentioning
confidence: 99%
“…This method is a simple structure and easy to implement [31,32]. But, this method needs accurate values of DFIG parameters and rotor speed [33,34]. On the other hand, this control scheme gives more torque ripple, reactive power ripple, active power ripple and harmonic distortion of stator current [35].…”
Section: Introductionmentioning
confidence: 99%