Modeling and decoupled active and reactive power control of a doubly fed induction generator

Mekkaoui, N.; Naït-Saïd, Mohamed-Saïd; Drid, Saïd

doi:10.1109/ccca.2011.6031526

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…This strategy is detailed in Yousefi-Talouki et al (2019). The main advantages of the DPC-PI with the 2-level SVPWM strategy are its good dynamic response, constant switching frequency operation, and simple algorithm Mekkaoui et al (2017). But this technique determines a high value for THD of the voltage and more powers ondulations of the DFIG-DRWT.…”

Section: Dpc Strategy With Pi Controllersmentioning

confidence: 99%

A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique

Benbouhenni

2023

JART

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Recently, direct power control (DPC) based proportional-integral (PI) controllers have become dominant for doubly fed induction generators (DFIGs) due to its simplicity and good dynamic response. But this strategy gives a high total harmonic distortion (THD) of the voltage and a large power ripple. In this paper, a new DPC method (called as NDPC-4L-NSVPWM) is proposed based on a four-level neural space vector pulse width modulation (4L-NSVPWM) and neural PI controllers for direct active and reactive powers command (DRAPC) of a DFIG integrated in a dual-rotor wind turbine (DRWT). This control scheme is based on direct reactive and active powers estimation. Theoretical principles of this strategy are presented along with simulation results. The advantages and robustness of NDPC-4L-NSVPWM control over other DPC with PI controllers (DPC-PI) are presented. The main advantages of NDPC-4L-NSVPWM strategy are relative to its good dynamic response, simplicity of the algorithm and operation at a constant switching frequency. Analysis of NDPC-4L-NSVPWM strategy based DFIG-DRWT has been done in MATLAB/Simulink software. Simulation results validate the performance of the NDPC-4L-NSVPWM strategy by evaluating the THD of current and the reduction of the ripples for the active/reactive power of DFIG-DRWTs.

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Section: Dpc Strategy With Pi Controllersmentioning

confidence: 99%

A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique

Benbouhenni

2023

JART

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“…This modulation reduced the total harmonic distortion (THD) of stator voltages compared to the PWM technique. On the other hand, this modulation technique is detailed in [11][12][13][14]. This strategy needs to calculated the angle and sector.…”

Section: Two-level Fsvm Techniquementioning

confidence: 99%

Neuro-scond Order Sliding Mode Field Oriented Command for DFIG Based Wind Turbine

Benbouhenni¹

2018

ijSmartGrid

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In this paper, we present a comparative study between second order sliding mode control (SOSMC) with two-level pulse width modulation (2L-PWM) and neuro-second order sliding mode control (NSOSMC) with two-level fuzzy space vector modulation (2L-FSVM) of reactive stator power and active stator power control of the doubly fed induction generator (DFIG) for wind energy conversion systems (WECSs). The validity of the proposed controls techniques is verified by simulation tests of the DFIG-based wind turbine systems (WTSs). The total harmonic distortion (THD) of rotor current, reactive stator power, electromagnetic torque and active stator power is determined and compared in the above strategies. The obtained results showed that the proposed NSOSMC control with 2L-NSVM technique have electromagnetic torque, reactive stator power and active power with low ripples and low rotor current harmonic distortion than SOSMC control scheme with conventional PWM technique..

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“…Recently, new advanced control techniques are grouped under the name of direct torque control (DTC and Direct Power Control (DPC) [5]. The concept of DTC was proposed in 1986 by [6] and then applied to other problems.…”

Section: Introductionmentioning

confidence: 99%

Backstepping Approach Based on Direct Power Control of a DFIG in WECS

Mazouz

Belkacem

Boukhalfa

et al. 2021

2021 10th International Conference on Renewable Energy Research and Application (ICRERA)

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The work presented in this paper aims to highlight new solutions that improve the performance and reliability of wind turbine systems based on a DFIG. Direct power control using hysteresis regulators in power control laws has many disadvantages, for example, variable frequency and ripple in control variable. To overcome these problems, the trend of current research has been carried out in the field of controls of robust nonlinear systems which give acceptable results in large operating domains. We present backstepping using SVM. A comparative study based on the simulation results is presented, thus making it possible to judge the robustness of the control in each case and for the different operating regimes of the DFIG; these results reflect the good performance of this method and which can be improved the system performance.

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Modeling and decoupled active and reactive power control of a doubly fed induction generator

Cited by 4 publications

References 4 publications

A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique

A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique

Neuro-scond Order Sliding Mode Field Oriented Command for DFIG Based Wind Turbine

Backstepping Approach Based on Direct Power Control of a DFIG in WECS

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