Fault Tolerant Control of Wind Turbines – a benchmark model

Odgaard, Peter Fogh; Stoustrup, Jakob; Kinnaert, Michel

doi:10.3182/20090630-4-es-2003.00026

Cited by 241 publications

(334 citation statements)

References 6 publications

Supporting

Mentioning

332

Contrasting

Unclassified

Order By: Relevance

“…The model should be thorough enough to be used as a simulation model. The development of the mathematical model is based on the standard model developed in [14], whose electric power output is 4.8 MW.…”

Section: Wencs Modelingmentioning

confidence: 99%

“…The power coefficient of a WiT using pitch control [15] is expressed as: (3) where is expressed as: (4) The pitch angle is defined by three hydraulic actuators and can be modeled as a second order system [14] expressed as: (5) The C p curve is shown in Fig. 3.…”

Section: Blade and Pitch Subsystemmentioning

confidence: 99%

“…When the wind speed is too slow, i.e., below 5 m/s [14] the operating region is classified as Region I, and the wind turbine is stopped in this region. When the wind speed is between 5 m/s and 13 m/s the operating region is classified as Region II [14].…”

Section: Operating Regionsmentioning

confidence: 99%

“…When the wind speed is between 5 m/s and 13 m/s the operating region is classified as Region II [14]. The control objective is to capture all available wind power by forcing the pitch angle equal to zero degrees within safety conditions.…”

Section: Operating Regionsmentioning

confidence: 99%

“…The control objective is to capture all available wind power by forcing the pitch angle equal to zero degrees within safety conditions. Above the nominal wind speed, i.e., 14 m/s the operating region is classified as Region III [14], and the wind turbine operates at the rated power of the generator.…”

Section: Operating Regionsmentioning

confidence: 99%

See 4 more Smart Citations

Control and Supervision of Wind Energy Conversion Systems

Viveiros¹,

Melício²,

Igreja³

et al. 2016

Technological Innovation for Cyber-Physical Systems

View full text Add to dashboard Cite

This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Keywords (separated by '-')Modelling -Simulation -Wind energy -Controllers -Supervision -Performance assessment Abstract. This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Control and Supervision of Wind Energy Conversion Systems

show abstract

Section: Wencs Modelingmentioning

confidence: 99%

Section: Blade and Pitch Subsystemmentioning

confidence: 99%

Section: Operating Regionsmentioning

confidence: 99%

Section: Operating Regionsmentioning

confidence: 99%

Section: Operating Regionsmentioning

confidence: 99%

See 3 more Smart Citations

Control and Supervision of Wind Energy Conversion Systems

Viveiros¹,

Melício²,

Igreja³

et al. 2016

Technological Innovation for Cyber-Physical Systems

View full text Add to dashboard Cite

show abstract

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Ghanbarpour

Bayat

Jalilvand

2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary A novel approach for increasing the sustainability and reliability of energy conversion in a wind turbine (WT) system in the presence of uncertainties/disturbances and sensors fault is proposed. To this aim, an active robust fault tolerant model predictive controller (FT‐MPC) is designed for WTs under partial load condition by combining the advantages of the sliding mode observer (SMO) and MPC approaches. Since the WTs are subject to physical/constructive constraints, first, an online MPC is designed to guarantee all constraints satisfaction. Then, the consequences of sensors fault on the control system's performance are demonstrated. An efficient approach is proposed based on the SMO for estimating the sensors faults and the states simultaneously. The most significant contribution of the observer‐based FT‐MPC controller is that it is not only robust against uncertainties/disturbances but also using the proposed strategy the challenges of nonlinearity, constraints, and sensor faults can be effectively handled.

show abstract

Fault estimation of wind turbines using combined adaptive and parameter estimation schemes

Witczak

Rotondo

Puig

et al. 2017

Adaptive Control & Signal

View full text Add to dashboard Cite

This paper addresses the problem of fault estimation in wind turbines using a joint fault and state estimation scheme. The scheme assumes a set of possible faults affecting the dynamics of the wind turbine. Then, a joint process fault and state estimation scheme is developed considering that process disturbances and sensor noises are unknown but bounded in an ellipsoid. Two subcases are considered depending of the satisfaction of a rank condition. The proposed scheme is applied to a well-known wind turbine benchmark proposed in a international competition. From the results obtained, a satisfactory fault estimation is achieves against a set of pre-defined fault scenarios.

show abstract

Fault Tolerant Control of Wind Turbines – a benchmark model

Cited by 241 publications

References 6 publications

Control and Supervision of Wind Energy Conversion Systems

Control and Supervision of Wind Energy Conversion Systems

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Fault estimation of wind turbines using combined adaptive and parameter estimation schemes

Contact Info

Product

Resources

About