Variable speed wind turbine control scheme using a robust wind torque estimation

Barambones, Óscar; Cortajarena, José Antonio; Calvo, Isidro; Durana, José Marı́a González de; Alkorta, Patxi; Karami-Mollaee, Ali

doi:10.1016/j.renene.2018.10.009

Cited by 29 publications

(21 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equations (11) and (12) show that the stator active power is controlled with the q component of the rotor current and the stator reactive power with the rotor current d component.…”

Section: Dfig Control Equations and Reference Systemmentioning

confidence: 99%

See 1 more Smart Citation

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

Wind-generated energy is a fast-growing source of renewable energy use across the world. A dual-feed induction machine (DFIM) employed in wind generators provides active and reactive, dynamic and static energy support. In this document, the droop control system will be applied to adjust the amplitude and frequency of the grid following the guidelines established for the utility’s smart network supervisor. The wind generator will work with a maximum deloaded power curve, and depending on the reserved active power to compensate the frequency drift, the limit of the reactive power or the variation of the voltage amplitude will be explained. The aim of this paper is to show that the system presented theoretically works correctly on a real platform. The real-time experiments are presented on a test bench based on a 7.5 kW DFIG from Leroy Somer’s commercial machine that is typically used in industrial applications. A synchronous machine that emulates the wind profiles moves the shaft of the DFIG. The amplitude of the microgrid voltage at load variations is improved by regulating the reactive power of the DFIG and this is experimentally proven. The contribution of the active power with the characteristic of the droop control to the load variation is made by means of simulations. Previously, the simulations have been tested with the real system to ensure that the simulations performed faithfully reflect the real system. This is done using a platform based on a real-time interface with the DS1103 from dSPACE.

show abstract

“…Equations (11) and (12) show that the stator active power is controlled with the q component of the rotor current and the stator reactive power with the rotor current d component.…”

Section: Dfig Control Equations and Reference Systemmentioning

confidence: 99%

“…DFIG generators provide access to the rotor windings and regulating the rotor voltage, the generator active and reactive powers are fully controllable. Therefore, the design and implementation of a new control scheme for a DFIG based wind turbine system has attracted the attention of several authors in the last years [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the reference value for the rotor speed that provides the maximum power can be calculated using the previous equation and the estimated aerodynamic torque :

w^{*} = \sqrt{\frac{{\overset{T}{true}}_{m}}{k_{w_{o p t}}}}

…”

Section: Wind Turbine Generator Controlmentioning

confidence: 99%

Robust Wind Speed Estimation and Control of Variable Speed Wind Turbines

Barambones

2018

Asian Journal of Control

Self Cite

View full text Add to dashboard Cite

In this work, a robust control scheme for variable speed wind turbine system that incorporates a doubly feed induction generator is described. The sliding mode controller is designed in order to track the optimum wind turbine speed value that produces the maximum power extraction for different wind speed values. A robust sliding mode observer for the aerodynamic torque is also proposed in order to avoid the wind speed sensors in the control scheme. The controller uses the estimated aerodynamic torque in order to calculate the reference value for the wind turbine speed. Another sliding mode control is also proposed in order to maintain the dc-link voltage constant regardless of the direction of the rotor power flow. The stability analysis of the proposed controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. Finally, the simulation results show that the proposed control scheme provides a high-performance turbine speed control, in order to obtain the maximum wind power generation, and a high-performance dc-link regulation in the presence of system uncertainties.

show abstract

“…Furthermore, maintaining the rated speed can also cope with the fluctuation of the wind speed, such as gusts, which will cause large turbine load and may lead to component fatigue, automatic shutdown or even damage some components of the turbine. There have been a great deal of research on management of VSWT, such as a new structure of sliding mode control [2], a fault detection and monitoring scheme for the VSWT [3], and a control approach using a robust wind torque estimation [4], etc.…”

Section: Introductionmentioning

confidence: 99%

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems

Shi

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

To enhance the reliability of wind turbine generation systems that are generally located in the remote area and subjected to harsh environment, we design the pitch angle control for variable speed wind turbines with the function of fault diagnosis and fault tolerance. The main fault targeted in this research is the mechanical wear and possible break of the blade, pitch gear set or shaft, which cause shaft rotary friction change. The proposed method uses a disturbance observer to diagnose the fault. The estimated fault is used for component assessment and later maintenance. The fault-tolerant control is achieved using a full-order terminal sliding mode control combined with an adaptive neural network estimator. With the compensation of the adaptive estimator, the post-fault states can be driven onto the sliding surface and converge to a small area around the origin. The full-order terminal sliding mode control ensures the state convergence in finite time. The Lyapunov method is used to derive the control law, so that the closed-loop post-fault stability and the convergence of the adaptive estimator adaptation are both guaranteed. The computer simulations of the pitch angle control based on a 5-MW variable-speed variable-pitch angle wind turbine model are conducted with different types of fault simulated. A third-order nonlinear state space model with fault term is derived, and real physical parameters are applied in the simulations. The simulation results demonstrate the feasibility and effectiveness of the proposed scheme and the potential of real-world applications.

show abstract

Variable speed wind turbine control scheme using a robust wind torque estimation

Cited by 29 publications

References 22 publications

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

Robust Wind Speed Estimation and Control of Variable Speed Wind Turbines

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems

Contact Info

Product

Resources

About