Application of Turbine Generator Train Rotordynamic Analysis for Setting Residual Modal Unbalance Requirements for High Speed Balancing of a Single Rotor

Author(s):  
Max L’vov
Keyword(s):  
Author(s):  
Nguyen Hoang Mai ◽  
Tran van Dung

The low frequency oscillation in the electrical generator connect to power grid is an important problem to control systems, especially in the gas turbine generators with high speed. The oscillation makes affect to life time, finance of operating and effect of energy process. There are many cause of the oscillation in governor speed control of power plants. They use PSS to do damping low frequency oscillation in recently [11], [12], [13], [14], [22], [23]. So PSS usually does process with delay cycle time, therefore it makes effect isn’t good result. This paper presents a method using linear in the gas turbine generator, which connects to power grid. By observe affect action of local oscillation of the power, study finds key point of oscillation time. From that, we take out decision to do prediction of damping in system and supply signal in to PSS to reduce damaging of this oscillation. Simulation results explain difference action of the system with linear observer and system without linear observer.


2013 ◽  
Vol 84 (9) ◽  
pp. 487-491
Author(s):  
V. N. Antipov ◽  
I. Yu. Kruchinina ◽  
A. D. Grozov

2004 ◽  
Vol 126 (2) ◽  
pp. 358-365 ◽  
Author(s):  
Sangkyun Kang ◽  
James P. Johnston ◽  
Toshiyuki Arima ◽  
Minoru Matsunaga ◽  
Hideaki Tsuru ◽  
...  

A microscale, high-speed compressor impeller (12 mm diameter, 800,000 rpm) was tested for feasibility in regard to aerodynamic performance. The compressor was designed for application in a first-sized gas turbine generator. To survive high stresses at such high temperatures, the rotor was manufactured as a single turbine/compressor/shaft unit in silicon nitride, by the Mold SDM process. Performance testing was conducted in a cold-flow rig at reduced speed of 420,000 rpm. Results from a CFD code compared favorably to measured data at this speed. Extrapolation from test conditions to full design speed was accomplished by application of CFD applied at both speeds.


1984 ◽  
Vol PAS-103 (11) ◽  
pp. 3217-3228 ◽  
Author(s):  
Avelino Gonzalez ◽  
G. Kung ◽  
C. Raczkowski ◽  
C. Taylor ◽  
D. Thonn
Keyword(s):  

Author(s):  
Xiaoli Xu ◽  
Xiuli Liu

Due to the influence of random wind shear in the atmospheric phenomenon, the random vibration of the main shaft of the wind turbine generator is generated. This vibration signal will be mixed with the misalignment signal of the high-speed shaft, which will cause interference to the fault diagnosis. Based on the analysis of the phenomenon of wind shear and the fault, the independent component analysis was carried out on the high-speed shaft mixed vibration signals on the basis of using rapid fixed point algorithm based on kurtosis, and the weak fault information is extracted successfully. At the same time, this method was compared with the weak information extraction method based on wavelet denoising, which proved the superiority of the proposed method. The experimental results show that the method has good field applicability and has a good application prospect in the field of weak information extraction for rotating machinery of wind power generation.


2007 ◽  
Vol 119 (2) ◽  
pp. 63-81 ◽  
Author(s):  
RAY M. CALFO ◽  
MATT B. SMITH ◽  
JOHN E. TESSARO

2021 ◽  
pp. 0309524X2110463
Author(s):  
Jin Xu ◽  
Xian Ding ◽  
Jiuhua Wang ◽  
Junjie Zheng

Bearings are the critical parts that support the rotating of rotor of wind turbine generators. Due to high speed revolution and affected by potential misalignment between rotor and the high speed shaft in wind turbine gearbox, the fault ratio in wind turbine generator bearings is high. Once the bearings fail, it will cause gap eccentricity, even rub, or sweeping chamber between rotor and stator. Under fault conditions, the vibration signals from rotating machinery exhibits distinct second cyclostationarity. In the light of this, the fast spectral correlation based method is applied to the fault extraction of bearings in wind turbine generators. Through converting conventional correlation into summation algorithm, the computational cost is reduced largely, meanwhile, the diagnosis accuracy is guaranteed. The effectiveness of the method in this paper is verified by two fault cases from on-site wind turbines.


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