Unbalanced voltage faults: the impact on structural loads of doubly fed asynchronous generator wind turbines

Barahona, Braulio; Cutululis, Nicolaos Antonio; Hansen, Alexander; Sørensen, Poul Ejnar

doi:10.1002/we.1621

Cited by 11 publications

(6 citation statements)

References 31 publications

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“…Furthermore, in comparison with a Type 3 wind turbine, the impact on the drive train during unbalanced grid faults is much less. Because the torque oscillations induced through the fluxes of the DFIG stator in cases of unbalanced faults [23], are not there in the proposed WT-EMC. This contributes to the improvement of the shaft torsion moment and side-to-side moments of tower bottom and tower top, therefore, the drive train and nacelle assembly will not be adversely affected by high frequency torque oscillations during unbalanced voltage supply.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability

et al. 2013

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This paper presents a novel type of variable speed wind turbine with a new drive train different from the variable speed wind turbine commonly used nowadays. In this concept, a synchronous generator is directly coupled with the grid, therefore, the wind turbine transient overload capability and grid voltage support capability can be significantly improved. An electromagnetic coupling speed regulating device (EMCD) is used to connect the gearbox high speed shaft and synchronous generator rotor shaft, transmitting torque to the synchronous generator, while decoupling the gearbox side and the synchronous generator, so the synchronous generator torque oscillations during a grid fault are not transmitted to the gearbox. The EMCD is composed of an electromagnetic coupler and a one quadrant operation converter with reduced capability and low cost. A control strategy for the new wind turbine is proposed and a 2 MW wind turbine model is built to study the wind turbine fault ride-through capability. An integrated simulation environment based on the aeroelastic code HAWC2 and software Matlab/Simulink is used to study its fault ride-through capability and the impact on the structural loads during grid three phase and two phase short circuit faults.

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Section: Simulation Resultsmentioning

confidence: 99%

A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability

et al. 2013

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“…The DFIG generator used here is a 5 MW that operates at 1200 rpm synchronous speed, with the parameters presented in Table . This machine was used in different variable‐speed wind turbine operation studies such as in the works of Singh et al The machine controller topology used here is the same as the one presented in the work of Barahona et al ., but the gain parameters were tuned in order to meet the 5 MW power requirements and to follow the reference torque from the wind turbine controller with an acceptable time constant and stabilization time. These are important requirements, specially under turbulent wind operation, when the speed and the torque change constantly.…”

Section: Methods and Modelsmentioning

confidence: 99%

“…The conclusion was that the loads are not affected by the FRT requirement when compared with when the turbine is disconnected from the grid. This approach was extended by Barahona et al . with an online co‐simulation approach using HAWC2 and MATLAB/Simulink, while using a detailed double‐fed induction generator (DFIG) model, which provided realistic torque response.…”

Section: Introductionmentioning

confidence: 99%

Ultimate design load analysis of planetary gearbox bearings under extreme events

2016

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This paper investigates the impact of extreme events on the planet bearings of a 5 MW gearbox. The system is simulated using an aeroelastic tool, where the turbine structure is modeled, and MATLAB/Simulink, where the drivetrain (gearbox and generator) are modeled using a lumped‐parameter approach. Three extreme events are assessed: low‐voltage ride through, emergency stop and normal stop. The analysis is focused on finding which event has the most negative impact on the bearing extreme radial loads. The two latter events are carried out following the guidelines of the International Electrotechnical Commission standard 61400‐1. The former is carried out by applying a voltage fault while simulating the wind turbine under normal turbulent wind conditions. The voltage faults are defined by following the guidelines from four different grid codes in order to assess the impact on the bearings. The results show that the grid code specifications have a dominant role in the maximum loads achieved by the bearings during a low‐voltage ride through. Moreover, the emergency brake shows the highest impact by increasing the bearing loads up to three times the rated value. Copyright © 2016 John Wiley & Sons, Ltd.

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“…In [7], condition monitoring for WT generator by using temperature trend analysis was developed. The unbalance voltage fault of doubly fed asynchronous generator WT was studied in [14]. Meanwhile in [15][16][17][18], faults diagnosis by using a-priori knowledge-based ANFIS for WT was proposed.…”

Section: Introductionmentioning

confidence: 99%

Fault detection and classification in wind turbine by using artificial neural network

Fadzail¹,

Zali²

2019

IJPEDS

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Wind turbine is one of the present renewable energy sources that has become the most popular. The operational and maintenance cost is continuously increasing, especially for wind generator. Early fault detection is very important to optimise the operational and maintenance cost. The goal of this project is to study fault detection and classification for a wind turbine (WT) by using artificial neural network (ANN). In this project, a single phase fault was placed at 9 MW doubly-fed induction generator (DFIG) WT in MATLAB Simulink. The WT was tested under different conditions, i.e., normal condition, fault at Phase A, Phase B and Phase C. The simulation results were used as inputs in the ANN model for training. Then, a new set of data was taken under different conditions as inputs for ANN fault classifier. The target outputs of ANN fault classifier were set as ‘0’ or ‘1’, based on the fault condition. Results obtained showed that the ANN fault classifier outputs had followed the target outputs. In conclusion, the WT fault detection and classification method by using ANN were successfully developed.

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Unbalanced voltage faults: the impact on structural loads of doubly fed asynchronous generator wind turbines

Cited by 11 publications

References 31 publications

A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability

A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability

Ultimate design load analysis of planetary gearbox bearings under extreme events

Fault detection and classification in wind turbine by using artificial neural network

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