scholarly journals Dynamic characteristics of electromechanical coupling of wind turbine drive system under multi‐source excitation

Wind Energy ◽  
2021 ◽  
Author(s):  
Ruibo Chen ◽  
Datong Qin ◽  
Yuanyuan Yi ◽  
Changzhao Liu ◽  
Junren Shi
Keyword(s):  
Wind Turbine ◽  
Dynamic Characteristics ◽  
Electromechanical Coupling ◽  
Drive System ◽  
Source Excitation ◽  
Turbine Drive

H ∞ Control for a Variable-Speed Stall-Regulated Wind Turbine Drive System

2000 ◽  
Vol 33 (14) ◽  
pp. 579-584
Author(s):  
R. Rocha ◽  
P. Resende ◽  
J.L. Silvino ◽  
M.V. Bortolus
Keyword(s):  
Wind Turbine ◽  
Drive System ◽  
Variable Speed ◽  
Turbine Drive

scholarly journals A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Hang Zhou ◽  
Shi-Jun Yi ◽  
Ya-Fei Liu ◽  
Yong-Quan Hu ◽  
Yong Xiang
Keyword(s):  
Fatigue Life ◽  
Internet Of Things ◽  
Wind Turbine ◽  
Life Prediction ◽  
Evaluation Method ◽  
Drive System ◽  
Time Varying ◽  
Analysis Model ◽  
Fatigue Life Analysis ◽  
Turbine Drive

The wind turbine drive system is one of the key components in converting wind energy into electrical energy. The life prediction of drive system is very important for the maintenance of wind turbine. With increasing capacity, the wind turbine system has become more complicated. Consequently, for the life prediction of drive system, it is necessary to consider the problems of multi-information fusion of big data, quantification of time-varying dynamic loads, and analysis of multiple-damage coupling. In order to solve the above challenges, the fatigue life analysis and evaluation method considering the interaction of coupled multiple damages are proposed in this study. The hierarchical Bayesian theory with fault physics technology is introduced to deal with the uncertainty of wind turbine drive system. Then, a time-varying performance analysis model is established based on the multiple-damage coupling competition failure mechanism. Moreover, the Internet of Things (IoT) technology is introduced and combined with the proposed model. Through the data collection by IoT, the time-stress curve of drive system can be obtained. A case study about the remaining fatigue life estimation of drive system is utilized to illustrate the effectiveness of the proposed method.

scholarly journals Intelligent Diagnosis Technology of Wind Turbine Drive System based on Neural Network

2021 ◽  
Vol 19 ◽  
pp. 289-296
Author(s):  
Wei Yang ◽  
Yi Chai ◽  
Jie Zheng ◽  
Jie Liu
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Power ◽  
Recognition Rate ◽  
Back Propagation ◽  
Wind Power Generation ◽  
Drive System ◽  
Turbine Drive

The seriousness of air pollution appears to be the importance of wind energy as a non-polluting energy source. Today, the use of wind power has become a trend for new countries to develop new energy sources. Wind turbines are the key equipment for converting wind energy into electrical energy, the quality of the state directly affects the efficiency of wind power generation. Therefore, how to effectively diagnose the wind turbine drive system is the guarantee of wind power generation. This paper establishes a fault diagnosis method for wind turbine drive based on vibration characteristics, by wavelet packet decomposition of vibration signals. The feature extraction is carried out and back propagation neural network is used for classification research. Finally, the simulation results show that the recognition rate is over 90%, which verify effectiveness of the proposed method.

Dynamic analysis and characterization of two stage epicyclic gear box in wind turbine drive train

2018 ◽  
Author(s):  
Ch v h Gayatri ◽  
A. S. Sekhar
Keyword(s):  
Dynamic Analysis ◽  
Wind Turbine ◽  
Drive Train ◽  
Two Stage ◽  
Epicyclic Gear ◽  
Gear Box ◽  
Turbine Drive

scholarly journals Use of the Dual Stator Induction Machine in Photovoltaic - Wind Hybrid Pumping

2021 ◽  
Vol 54 (1) ◽  
pp. 115-124
Author(s):  
Arezki Adjati ◽  
Toufik Rekioua ◽  
Djamila Rekioua
Keyword(s):  
Wind Turbine ◽  
Prior Knowledge ◽  
Flow Rate ◽  
Induction Machine ◽  
Drive System ◽  
Induction Generator ◽  
The Sun ◽  
Water Requirements ◽  
Global System ◽  
Dynamic Head

In this article, a combination of two renewable sources is used to power a pumping station. Indeed, a photovoltaic generator (GPV) and a wind turbine are installed so as to be complementary in the process of filling the water tower similar to an accumulator, before distributing the water by gravity. Prior knowledge of a few quantities, in particular the assessment of water requirements, total dynamic head (TDH) and flow rate is essential for sizing the various components of the pumping chain. The results obtained show that the combination of the energy of the sun with that of the wind ensures a continuity of service; the use of an engine (DSIM) and a double stator induction generator (DSIG) allows degraded mode operation in the event that one or more parts of the drive system are defective. The global system is dimensioned and simulated under Matlab/ Simulink Package.

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