scholarly journals Thermal Coupling Analysis in a Multichip Paralleled IGBT Module for a DFIG Wind Turbine Power Converter

2017 ◽  
Vol 32 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Hui Li ◽  
Xinglin Liao ◽  
Zheng Zeng ◽  
Yaogang Hu ◽  
Yang Li ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Power Converter ◽  
Thermal Coupling ◽  
Coupling Analysis ◽  
Igbt Module

scholarly journals Open-Circuit Fault Diagnosis of Wind Power Converter Using Variational Mode Decomposition, Trend Feature Analysis and Deep Belief Network

2020 ◽  
Vol 10 (6) ◽  
pp. 2146 ◽  
Author(s):  
Jingxuan Zhang ◽  
Hexu Sun ◽  
Zexian Sun ◽  
Yan Dong ◽  
Weichao Dong
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Power Converter ◽  
Open Circuit ◽  
Original Signal ◽  
Variational Mode Decomposition ◽  
Mode Decomposition ◽  
Igbt Modules ◽  
Igbt Module ◽  
Circuit Fault Diagnosis

The power converter is a significant device in a wind power system. The wind turbine will be shut down and off grid immediately with the occurrence of the insulated gate bipolar transistor (IGBT) module open-circuit fault of the power converter, which will seriously impact the stability of grid and even threaten personal safety. However, in the existing diagnosis strategies for the power converter there are few single and double IGBT module open-circuit fault diagnosis methods producing negative results, including erroneous judgment, omissive judgment and low accuracy. In this paper, a novel method to diagnose the single and double IGBT modules open-circuit faults of the permanent magnet synchronous generator (PMSG) wind turbine grid-side converter (GSC) is proposed: Primarily, by collecting the three-phase current varying with a wind speed of 22 states, including a normal state and 21 failure states of PMSG wind turbine GSC as the original signal data. Afterward, the original signal data are decomposed by using variational mode decomposition (VMD) to obtain the mode coefficient series, which are analyzed by the proposed method base on fault trend feature for extracting the trend feature vectors. Finally, the trend feature vectors are utilized as the input of the deep belief network (DBN) for decision-making and obtaining the classification results. The simulation and experimental results show that the proposed method can diagnose the single and double IGBT modules open-circuit faults of GSC, and the accuracy is higher than the benchmark models.

Fluid-solid-thermal coupling analysis of rock failure under the joint action of cutting and jet impingement

Geothermics ◽  
2021 ◽  
Vol 94 ◽  
pp. 102092
Author(s):  
Xianwei Dai ◽  
Zhongwei Huang ◽  
Xiaoguang Wu ◽  
Heqian Zhao ◽  
Huaizhong Shi
Keyword(s):  
Joint Action ◽  
Jet Impingement ◽  
Rock Failure ◽  
Thermal Coupling ◽  
Coupling Analysis

Modeling and Control of an Infinitely Variable Speed Converter With Application to Wind Turbines

2012 ◽  
Author(s):  
W. D. Zhu ◽  
X. F. Wang
Keyword(s):  
Wind Turbine ◽  
Kinematic Model ◽  
Power Converter ◽  
Output Shaft ◽  
Speed Ratio ◽  
Variable Speed ◽  
Average Output ◽  
Constant Frequency ◽  
Current Frequency ◽  
Feed Forward

Traditional transmission in wind turbine applications has a constant output-to-input speed ratio, which needs a power converter to regulate the current frequency that can be fed into the grid. Different types of continuously variable transmission (CVT) have been developed for vehicle and wind turbine applications, which can generate constant-frequency current without using a power converter in a wind turbine. An infinitely variable speed converter (IVSC) is a specific type of CVT that can achieve a zero speed ratio and transmit a large torque at a low speed ratio. An IVSC with drivers that convert an eccentric motion of cams to a concentric motion of the output shaft through one-way bearings is introduced, and an active control system with a combined feedback and feed forward control that can automatically adjust the eccentricity of the outer cams to control the speed ratio of the transmission is developed. The kinematic model of the IVSC is derived and fitted by a polynomial function to serve as the feed forward function in the control law. The feedback control is used to reduce the system error. A dynamic model of the IVSC is derived to investigate the effect of the dynamic load on the input and output speeds. Static and dynamic tests were conducted to validate the kinematic model of the IVSC. The variation of the average output speed per revolution of the output shaft is 0.56% with respect to the desired output speed in the simulation and 0.91% in the experiments.

scholarly journals Enhancing the Performance of DFIG Wind Turbines Considering Excitation Parameters of the Insulated Gate Bipolar Transistors and a New PLL Scheme

2021 ◽  
Vol 8 ◽  
Author(s):  
Kenneth E. Okedu ◽  
Hind F. A. Barghash
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Control Strategy ◽  
Computer Aided Design ◽  
Transient State ◽  
Power Converter ◽  
Bipolar Transistors ◽  
Insulated Gate Bipolar Transistors ◽  
Wind Generator ◽  
Excitation Parameters

The major aim for achieving the successful synchronization of a wind turbine system to the grid is to mitigate electrical and mechanical stresses on the wind generator. During transient state, the gearbox, shaft, and rotor of the wind generator could be damaged due to mechanical stress. The rotor and stator windings of the wind generator, including its insulation, could be affected. This paper undertakes an extensive analysis of the effects of the excitation parameters of the power converter Insulated Gate Bipolar Transistors (IGBTs), on the transient state performance of the Doubly Fed Induction Generator (DFIG), considering different scenarios. The optimal excitation parameters of IGBTs were used for further analysis of the wind generator, considering a new Phase-Locked-Loop (PLL) scheme. The PLL computes the phase displacement of the grid required to achieve orientation and synchronization control. Consequently, it helps in preventing power system distortion due to stator-grid interphase. This paper proposes a new approach that integrates PLL control strategy and a Series Dynamic Braking Resistor (SDBR) to augment the fault ride through capability of a variable speed wind turbine that is DFIG-based. The SDBR helps the post fault recovery of the wind generator. Simulations were run in Power System Computer Aided Design and Electromagnetic Transient state Including DC (PSCAD/EMTDC) to examine severe fault conditions, and to test the robustness of the controllers employed. The results show that the proposed hybrid control strategy aids the fast recovery of the DFIG wind generator variables during fault conditions.

scholarly journals Numerical Validation of Floating Offshore Wind Turbine Scaled Rotors for Surge Motion

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2578 ◽  
Author(s):  
Krishnamoorthi Sivalingam ◽  
Steven Martin ◽  
Abdulqadir Singapore Wala
Keyword(s):  
Wind Turbine ◽  
Turbine Rotor ◽  
Power Converter ◽  
Experimental Results ◽  
Offshore Wind ◽  
Speed Ratio ◽  
Offshore Wind Turbine ◽  
Floating Offshore Wind Turbine ◽  
Aerodynamic Loads ◽  
Unsteady Aerodynamic

Aerodynamic performance of a floating offshore wind turbine (FOWT) is significantly influenced by platform surging motions. Accurate prediction of the unsteady aerodynamic loads is imperative for determining the fatigue life, ultimate loads on key components such as FOWT rotor blades, gearbox and power converter. The current study examines the predictions of numerical codes by comparing with unsteady experimental results of a scaled floating wind turbine rotor. The influence of platform surge amplitude together with the tip speed ratio on the unsteady aerodynamic loading has been simulated through unsteady CFD. It is shown that the unsteady aerodynamic loads of FOWT are highly sensitive to the changes in frequency and amplitude of the platform motion. Also, the surging motion significantly influences the windmill operating state due to strong flow interaction between the rotating blades and generated blade-tip vortices. Almost in all frequencies and amplitudes, CFD, LR-BEM and LR-uBEM predictions of mean thrust shows a good correlation with experimental results.

scholarly journals Design and Modeling of Modified Savonius Highway Wind Turbine

2018 ◽  
Vol 7 (4.24) ◽  
pp. 80
Author(s):  
P.M. Venkatesh ◽  
Dr.K .Suresh ◽  
A.R. Vijay Babu
Keyword(s):  
Wind Turbine ◽  
Power Output ◽  
Fast Moving ◽  
Power Converter ◽  
Wind Data ◽  
Constant Power ◽  
The Road ◽  
Moving Vehicles ◽  
Savonius Wind Turbine ◽  
Constant Power Output

Abstract— in this paper, the design and modeling of highway wind mill using savonius wind turbine has been done. The highway wind mill is nothing but the wind mill kept in the mid of the road so that , this wind mill utilize the fast moving wind which is produced from fast moving vehicles travels in the high way. In this work the required wind data have been collected  in highways and based on these values the design and fabrication have been made. The output of the wind turbine has been given to the power converter in order to get the constant power output.

scholarly journals Novel Modified Elman Neural Network Control for PMSG System Based on Wind Turbine Emulator

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Chih-Hong Lin
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Generator ◽  
Power Converter ◽  
Network Control ◽  
Elman Neural Network ◽  
Wind Speeds ◽  
Ac Power

The novel modified Elman neural network (NN) controlled permanent magnet synchronous generator (PMSG) system, which is directly driven by a permanent magnet synchronous motor (PMSM) based on wind turbine emulator, is proposed to control output of rectifier (AC/DC power converter) and inverter (DC/AC power converter) in this study. First, a closed loop PMSM drive control based on wind turbine emulator is designed to generate power for the PMSG system according to different wind speeds. Then, the rotor speed of the PMSG, the voltage, and current of the power converter are detected simultaneously to yield better power output of the converter. Because the PMSG system is the nonlinear and time-varying system, two sets online trained modified Elman NN controllers are developed for the tracking controllers of DC bus power and AC power to improve output performance of rectifier and inverter. Finally, experimental results are verified to show the effectiveness of the proposed control scheme.

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