Comparative Study of Active Disturbance Rejection Control with RST Control for Variable Wind Speed Turbine Based on Doubly Fed Induction Generator Connected to the Grid

Chakib, Mohssine; Nasser, Tamou; Essadki, Ahmed

doi:10.22266/ijies2020.0229.23

Cited by 9 publications

(15 citation statements)

References 16 publications

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“…The aerodynamic model of the wind turbine is modeled mathematically by the following equation [9,24]:…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

“…Several studies have shown that the ADRC control strategy is characterized by very good robustness and that it has a good efficiency in set points tracking because it has many advantages, such as good performance and high accuracy in case of dynamic system control, system stability ensured and the easy implementation thanks to the tuning parameters reduced [8]. The ADRC method typically uses an Extended Status Observer (ESO) which acts as a status feedback controller and provides the system status information in real time and it allows estimating and deleting all internal and external disturbance can affect the system [8][9].…”

Section: Introductionmentioning

confidence: 99%

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Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

Chakib

Nasser

Essadki

2021

IJRER

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In the interconnected power systems, there must always be a balance between the amount of electricity produced and the amount of electricity consumed in order to keep the grid frequency stable and nearby to its nominal value. Therefore, any change in consumption can lead to imbalance, instability, load shedding and system frequency disturbances. With the increase of wind energy penetration level in the electrical network, it has become necessary to make wind generators participate in frequency regulation. The fundamental objective of this research paper is to investigate the ability of wind turbine at variable speed equipped with doubly fed induction generator (DFIG) to contribute in the grid frequency regulation. For the purpose of the contribution in the frequency regulation, the wind turbine system must inject a supplementary power support into the electrical network. To do that, two control strategies are adopted: the first one is the synthetic inertia control which uses the kinetic energy reserved and stocked in the turbine and generator rotors of the wind system. The second one is the droop frequency control which includes the deloading method that allows to the VSWT to create a certain reserve active power. Then, each of these control techniques is implemented and their performances are evaluated in case of frequency variation. Moreover, the control structure that uses the combination of these two techniques is also implemented and studied. The active disturbance rejection control strategy (ADRC), the classical PI controller and the polynomial RST controller have been adopted to command the rotor side converter (RSC) of the DFIG which allows it to provide, in case of frequency fault, a support for the power system into the grid by adjusting the rotor speed. The performance of these controllers are tested and compared and the simulation is performed by MATLAB/Simulink simulation software.

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“…The aerodynamic model of the wind turbine is modeled mathematically by the following equation [9,24]:…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

Chakib

Nasser

Essadki

2021

IJRER

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“…It is a robust command based on the extension of the system model by a supplemental and fictitious state variable representing all the user cannot control in the mathematical model of the system controlled [17]. All real disturbances and modeling uncertainties are represented in this virtual state, the estimation of which is ensured by an extended state observer (ESO) [18][19][20][21]. Using this estimated state, a control signal is generated to decouple the system from the actual disturbance acting process.…”

Section: Active Disturbance Rejection Control Strategymentioning

confidence: 99%

Modeling and control of double star induction machine by active disturbance rejection control

Oumar

Chakib²,

Cherkaoui

2020

TELKOMNIKA

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This paper aims to contribute to the modeling and control of the double star induction machine (DSIM) by a robust method called active disturbance rejection control (ADRC). The ADRC has become in the last decade one of the most important techniques of regulation. This method is based on the use of an ESO (Extended State Observer) which estimates in real-time and at the same time the external disturbances and the errors due to the variations of the parameters of the machine and to the uncertainties of modeling. The two stators of DSIM are powered by three-phase inverters based on transistors and MLI control and the entire system is modeled in Park's reference. We analyze in the Matlab/Simulink environment the dynamic behavior of the system and the different ADRC controllers under different operating conditions. The result has demonstrated the performance and effectiveness of the ADRC.

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“…Second, its capacity to provide variable speed operation means that energy can always be extracted even at low wind speeds and that DFIG rotates at the optimal rotational speed for each wind speed, which minimizes mechanical stress, improves energy quality, and compensates for torque and power pulsations. Finally, the rotor-side converter (RSC) can be controlled to place the turbine system at an operating point where energy extraction is maximal through a technique called 'Maximum Power Point Tracking (MPPT)' [4][5][6][7]. There are several approaches to the transformation of DFIG in the literature to successfully achieve control of the wind system, we find like Stator Voltage Orientation (SVO) [8] and Stator Flux Orientation (SFO) [9], in many cases, these approaches have been successfully combined with linear and non-linear controls like proportionalintegral controller (PIC) [10,11],Classic Sliding Mode Controller (CSMC) [11] and Adaptadtive Backstepping controller(ABC) [12] with High Gain Observer (HGO) [13] to control the DFIG effectively but under stable network conditions.…”

Section: Introductionmentioning

confidence: 99%

Kalman Observer Contribution to a Second Order Sliding Mode Control for Wind Turbine Based on DFIG During the Network Voltage Dip

Loulijat¹,

Ababssi²,

Mohamed³

2021

IJIES

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The main problem of the Doubly-Fed Induction Generator (DFIG) is its sensitivity to network disturbances especially voltage dip due to its stator windings being directly linked to the network. A voltage dip in the network results from high current peaks in the stator windings, since the stator and rotor are electromagnetically coupled, so these peaks provoke inrush current hard at the delicate back-to-back converters and an overcharge of the DC-LINK capacitor. In this perspective, several researchers are realized a linear and nonlinear controller with a passive protection method (PPM). The objective of this paper is to develop modelling and control models based on a true DFIG model considering the effect of all the parameters of a stator winding. The Second-Order Sliding Mode controller (SOSMC) is the non-linear control strategy used to control the dynamics of the DFIG through the rotor-side and network-side power converters under normal network conditions. When a voltage dip is detected, the Kalman observer (KO) contributes to a non-linear controller and the latter is coupled to a passive protection method that contains crowbar and DC-chopper circuits to improve the dynamics of the DFIG system to cross the network fault. Also, a comparative study is carried out between the developed controller and other linear ,non-linear approaches exist in the literature. The results obtained, under a maximum voltage dip (100%) on the 60 kV network, confirm its robustness and superiority in terms of limiting the DFIG graders at the beginning and on termination of a fault. In terms of Ir and Vdc values during a voltage dip, our control strategy does not exceed 1.45p.u and 1.2p.u, on the contrary, the ABC with HGO which is developed recently reaches 2.2p.u and 0.4p.u.

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Comparative Study of Active Disturbance Rejection Control with RST Control for Variable Wind Speed Turbine Based on Doubly Fed Induction Generator Connected to the Grid

Cited by 9 publications

References 16 publications

Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

Contribution of Variable Speed Wind Turbine Generator based on DFIG using ADRC and RST Controllers to Frequency Regulation

Modeling and control of double star induction machine by active disturbance rejection control

Kalman Observer Contribution to a Second Order Sliding Mode Control for Wind Turbine Based on DFIG During the Network Voltage Dip

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