DocumentCode
175413
Title
Analysis on shaft torsion response of 600MW steam turbine unit under quick load regulation
Author
An Hong-wen ; Ma Zhi-yong ; Li Zhuang ; Zhong Cai-mao ; Liu Ying
Author_Institution
Sch. of Energy, Power & Mech. Eng., North China Electr. Power Univ., Beijing, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
204
Lastpage
208
Abstract
The safe and stable operation of the large capacity thermal power unit must be seriously affected by the rapidly changed load when the unit participates in peak regulation. This paper takes a domestic 600MW steam turbine unit as an example, sets up a mass-spring model with lumped parameter method and calculates the torsional vibration responses of the shafts with the method combined Riccati transfer matrix method with Newmark-β method when the load rapidly changes. As a result, the maximum torque of the shaft appears on the coupling between the 2 # low pressure rotor and the generator rotor, the rotor´s torsional angles at the `maximum torque´ place are opposite when load rises and falls, the amplitude of torque has a relationship with the power when the load starts to change (The greater the power, the greater the torque.) and the power frequency is not included in the frequency spectrum of the torque.
Keywords
Riccati equations; lumped parameter networks; rotors; steam turbines; thermal power stations; torsion; transfer function matrices; Newmark-β method; Riccati transfer matrix method; generator rotor; low pressure rotor; lumped parameter method; mass-spring model; maximum shaft torque; power 600 MW; quick load regulation; rotor torsional angles; shaft torsion response analysis; steam turbine unit; thermal power unit; torsional vibration responses; Acceleration; Generators; Rotors; Shafts; Torque; Turbines; Vibrations; 600MW steam turbine unit; Newmark-β method; Riccati transfer matrix method; peak shaving; torsional vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852145
Filename
6852145
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