Adaptive direct power control for double fed induction generator used in wind turbine

Mazouz, F.; Belkacem, Sebti; Çolak, İlhami; Drid, Saïd; Harbouche, Youcef

doi:10.1016/j.ijepes.2019.105395

Cited by 39 publications

(27 citation statements)

References 26 publications

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“…r is the rotor speed. In (6) and 7, the dq subscript refers to the dq reference frame model. With neglecting the power losses in the stator resistances, the stator active and reactive power are expressed as…”

Section: Dfig Modelmentioning

confidence: 99%

“…Demirbas [5] proposed a self‐tuning fuzzy‐PI control scheme with adaptive features for rotor current control of a DFIG. In [6], an adaptive DPC is designed for DFIG based on the replacement of the fixed switching table by an adaptive one. An intelligent adaptive controller using adaptive neuro‐fuzzy inference system (ANFIS) is reported in [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Moradi

Yaghobi

Alinejad‐Beromi

et al. 2020

IET Renewable Power Generation

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Section: Dfig Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Moradi

Yaghobi

Alinejad‐Beromi

et al. 2020

IET Renewable Power Generation

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“…This reflects that the main characteristic of the WT is not taken into account, knowing that the generated electrical power by such a system depends directly on the mechanical characteristic of the WT (speed and mechanical power). In addition, they don't exploit the most important DFIG's advantages: variable speed operation, control of generated active power and the reactive power management, except in [18,25]. In [18], the author has proposed a direct reactive power control under a large random wind profile without controlling directly the active power, where in [25] an Adaptive DPC has been invested to control WT-DFIG under a random wind speed.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, they don't exploit the most important DFIG's advantages: variable speed operation, control of generated active power and the reactive power management, except in [18,25]. In [18], the author has proposed a direct reactive power control under a large random wind profile without controlling directly the active power, where in [25] an Adaptive DPC has been invested to control WT-DFIG under a random wind speed. However, the presented results show high THD upper the limits imposed by IEEE Std 519, high active and reactive power ripples and a complex control system without treating all DFIG operation modes.…”

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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“…Several attempts have been taken by researchers around the globe to improve these techniques. Among them, we mention the adaptive DPC [13] and the fuzzy DTC [14].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Power Quality Injected into the Grid by Using a FOSMC-DPC for Doubly Fed Induction Generator

Beniss¹,

Moussaoui²,

Lamhamdi³

et al. 2021

IJIES

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This research work deals with the design of a direct power control strategy (DPC) based on the fractionalorder sliding mode (FOSMC) theory for the doubly fed induction generator (DFIG). The novelty of this paper is the use of proportional derivative (PD) fractional order sliding surface that is constructed using Riemann-Liouville fractional derivative and its accurate representation with a transfer function. This make the whole control strategy simpler and more accurate. Also the study of the quality of the current injected into the grid is performed. The stability of DFIG is guaranteed by means of the Lyapunov function. In order to optimize the amount of electrical energy captured from the wind, the MPPT (Maximum Power Point Tracking) technique is adopted. The proposed controller forces the system to track the desired values of active and reactive powers. In addition, power ripples are restrained even if the DFIG is subjected to disturbances and parameter variations. Furthermore, a comparative study is conducted between the developed controller and other nonlinear methods that exist in the literature. The results obtained, under different wind profiles, confirm its robustness and superiority in terms of performance and quality of power injected into the grid. In terms of THD, our control strategy does not exceed 1.31%, on the contrary, the fuzzy logic DTC which is developed recently reaches 2.81%.

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Adaptive direct power control for double fed induction generator used in wind turbine

Cited by 39 publications

References 26 publications

Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

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

Improvement of Power Quality Injected into the Grid by Using a FOSMC-DPC for Doubly Fed Induction Generator

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