Direct active and reactive power control of DFIG based wind energy conversion system

Mehdi, Adel; Réama, Abdellatif; Medouce, Houssam Eddine; Rezgui, Salah Eddine; Benalla, H.

doi:10.1109/speedam.2014.6872091

Cited by 10 publications

(9 citation statements)

References 9 publications

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“…The use of stator flux in the power control made disturbances on the output voltage V s and frequency while the stator flux has to be constant ( φ s = V s / ω s ) to guarantee a permanent connection of the wind generator to the AC grid, where the conditions of connection to the AC grid are: the same voltages, the same frequencies and the same succession of phases. On other side, the DPC suffers from many disadvantages, therefore, some authors have replaced the hysteresis regulators and the switching table by an artificial intelligence technique (Fuzzy Logic Control or Artificial Neural Network) [14][15][16][17]. Some other authors have used Multi-Level converter or Matrix converter instead of the classical two-level converter [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

Sahri

Tamalouzt

Lalouni

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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The main objective of this paper is the performances analysis of an Enhanced Direct Power Control (EDPC), applied to Doubly Fed Induction Generator (DFIG) driven by variable speed Wind Turbine (WT). This control strategy uses hysteresis regulators and switching table for active and reactive powers control. These latter are estimated using rotor currents and grid voltages instead of a traditional measurement of stator currents. In addition, the EDPC switching table is based on the position of the rotor flux instead of the stator flux in order to have better regulation accuracy because the rotor voltage vector directly influences the rotor flux and has a proportional relationship with the active and reactive powers. All the operating modes (sub-synchronous, super-synchronous, synchronous and over-speed) of the variable speed WT-DFIG system and the possibility of local reactive power compensation are reported and discussed in this paper. Depending on the operating zone of the WT, Maximum Power Point Tracking (MPPT) technique and pitch angle control are considered to optimize the wind energy efficiency. The validation of the proposed EDPC strategy has been performed through simulation tests under MATALB/Simulink, the obtained results show robustness and good performances with low THD of the generated currents.

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Section: Introductionmentioning

confidence: 99%

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

Sahri

Tamalouzt

Lalouni

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Field oriented control still the most commonly used control for DFIG system by using the classic Proportional Integral (PI) regulators 5,6 . However, this method is more complex and difficult to maintain desired performances because it requires many parameters of the motor 7 .…”

Section: Introductionmentioning

confidence: 99%

“…The proposed structure of fuzzy direct power controlIn this control scheme, the hysteresis controllers are replaced by fuzzy logic controllers (FLC) however, it uses the same concept as DPC for the selection of the switching vector. The inputs to the FLC are the errors of real and reactive power ( , ) and their variations ( , ) and the output of the FLC is the actual voltage vector applied to the GSC93,6 . inference method used is based on Mamdani min-max rule.…”

mentioning

confidence: 99%

Improved control strategy of DFIG-based wind turbines using direct torque and direct power control techniques

Kouadria

Berkouk

Messlem

et al. 2018

Journal of Renewable and Sustainable Energy

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“…More recently, DPC technique has been put forward for the wind energy conversation systems including DFIG [18–20]. In [18], the rotor flux is calculated from the rotor and stator parameters at each sampling period; hence, stability and robustness of this technique completely depend on machine parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The switching frequency of the converter is affected by power and speed variations as well. In [19], the control system has been constructed based on the active and reactive power errors as well as the stator‐flux position. As the stator‐voltage waveform is relatively pure sinusoidal with a constant frequency, the estimated stator‐flux accuracy has been guaranteed.…”

Section: Introductionmentioning

confidence: 99%

Self‐tuning fuzzy‐PI‐based current control algorithm for doubly fed induction generator

Demirbaş

2017

IET Renewable Power Generation

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This study presents a fuzzy-proportional-integral (PI) controller having self-tuning property for current control of doubly fed induction generator (DFIG). Two fuzzy-PI-based controllers: first one is used for controlling rotor current of DFIG, whereas the other come up with optimal output-scaling factor for the former are employed to carry out the algorithm. The proposed controller is robust with different operating conditions and parameter changes because of having adaptive feature. The performance of the control algorithm both transient and steady-state conditions are tested with several experiments performed various operating points. The results achieved from both simulation and experimental tests verify that the implemented method is superior to steady-state and transient response at all operations as exhibits robustness to wind speed and parameter variations.

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Direct active and reactive power control of DFIG based wind energy conversion system

Cited by 10 publications

References 9 publications

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

Improved control strategy of DFIG-based wind turbines using direct torque and direct power control techniques

Self‐tuning fuzzy‐PI‐based current control algorithm for doubly fed induction generator

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