Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization

Boukhezzar, Boubekeur; Siguerdidjane, Houria

doi:10.1016/j.enconman.2009.01.011

Cited by 210 publications

(94 citation statements)

References 10 publications

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“…Assuming that the main shaft and the gearbox are infinitely rigid, the drive train of WT can be regarded as a onemass model [22]:…”

Section: Mechanical Dynamics Of Wt and Wtsmentioning

confidence: 99%

“…Because the slow dynamics of WTs resulted from high rotor inertia is one of key issues in the control strategy design of WTs [1,2,22,23], the WTS should replicate the mechanical behavior similar to field WTs [9][10][11][12][13][14][15][16][17][18][19][20]. However, the moment of inertia of WTSs is usually much smaller than that of WTs, and therefore the inertia compensation scheme is applied to simulate the slow behavior of mechanical dynamics of WTs [10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Inertia compensation scheme for wind turbine simulator based on deviation mitigation

Chen

Zou

2016

J. Mod. Power Syst. Clean Energy

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Wind turbine simulator (WTS) is an important test rig for validating the control strategies of wind turbines (WT). Since the inertia of WTSs is much smaller than that of WTs, the inertia compensation scheme is usually employed in WTSs for replicating the slow mechanical behavior of WTs. In this paper, it is found that the instability of WTSs applying the inertia compensation scheme, characterized by the oscillation of compensation torque, is caused by the one-step time delay produced in the acceleration observation. Hence, a linear discrete model of WTS considering the time delay of acceleration observation is developed and its stability is analyzed. Moreover, in order to stably simulate WTs with large inertia, an improved inertia compensation scheme, applying a first-order digital filter to mitigate deviation response induced by the time delay, is proposed. And, the criterion for selecting the filter coefficients is established based on the stability condition analysis. Finally, the WTS with the proposed scheme is validated by simulations and experiments.

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“…Assuming that the main shaft and the gearbox are infinitely rigid, the drive train of WT can be regarded as a onemass model [22]:…”

Section: Mechanical Dynamics Of Wt and Wtsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inertia compensation scheme for wind turbine simulator based on deviation mitigation

Chen

Zou

2016

J. Mod. Power Syst. Clean Energy

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“…The wind turbine technology using doubly fed induction generators based on wind energy conversion systems (DFIG-WECS) is widely used in the current wind energy industry compared with the other types because of its technical and economic advantages [3][4][5]. For example, it can absorb need for additional protection devices.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Control Strategy to Improve the Fault Ride-Through Capability of DFIGs Based on Wind Energy Conversion Systems

et al. 2016

Energies

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An innovative control strategy is proposed for enhancing the low voltage ride-through (LVRT) capability of a doubly fed induction generator based on wind energy conversion systems (DFIG-WECS). Within the proposed control method, the current control loops of the rotor side converter (RSC) are developed based on passivity theory. The control scheme for the grid side converter (GSC) is designed based on a two-term approach to keep the DC-link voltage close to a given value. The first term based on the maximal voltage of GSC is introduced in the GSC control loops as a reference reactive current. The second one reflecting the instantaneous unbalanced power flow between the RSC and GSC is also introduced in the GSC control loops as a disturbance considering the instantaneous power of the grid filter to compensate the instantaneous rotor power. The effectiveness of the proposed control strategy is verified via time domain simulation of a 2.0 MW-575 V DFIG-WECS using PSCAD/EMTP. Simulation results show that the control of the DFIG with the proposed approach can improve the LVRT capability better than with the conventional one.

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“…Moreover, in Ref [10] a nonlinear control based on a wind speed estimator is used. In addition, neural-fuzzy techniques were utilized in references [11][12][13] In reference [14], the MLP neural network and the RBF neural networks were used to control the pitch angle.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control of Pitch Angle of Wind Turbine using a Novel Strategy for Management of Mechanical Energy Generated by Turbine in Different Wind Velocities

Hayatdavudi¹,

Saeedimoghadam

Nabavi

2013

Journal of Electrical Engineering and Technology

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-Control of pitch angle of turbine blades is among the controlling methods in the wind turbines; this measure is taken for managing mechanical power generated by wind turbine in different wind velocities. Taking into account the high significance of the power generated by wind turbine and due to the fact that better performance of pitch angle is followed by better quality of turbine-generated power, it is therefore crucially important to optimize the performance of this controller. In the current paper, a PI controller is primarily used to control the pitch angle, and then another controller is designed and replaces PI controller through applying a new strategy i.e. alternating two ADALINE neural networks. According to simulation results, performance of controlling system improves in terms of response speed, response ripple, and ultimately, steady tracing error. The highly significant feature of the proposed intelligent controller is the considerable stability against variations of wind velocity and system parameters.

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Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization

Cited by 210 publications

References 10 publications

Inertia compensation scheme for wind turbine simulator based on deviation mitigation

Inertia compensation scheme for wind turbine simulator based on deviation mitigation

An Innovative Control Strategy to Improve the Fault Ride-Through Capability of DFIGs Based on Wind Energy Conversion Systems

Adaptive Control of Pitch Angle of Wind Turbine using a Novel Strategy for Management of Mechanical Energy Generated by Turbine in Different Wind Velocities

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