Torsional oscillations of the turbine-generator due to network faults

Maljković, Zlatko; Stegić, Milenko; Kuterovac, Ljiljana

doi:10.1109/epepemc.2010.5606642

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…It is difficult to model all details due to the conflict between accuracy and efficiency in solution. To reduce the dimensions of the problem, lumped mass model of turbine shafts is widely applied with several or tens of freedoms, which achieves good efficiency and acceptable accuracy in stability analysis of grid [15]. However, lumped mass model (LMM) cannot model detailed geometry of shafts.…”

Section: Introductionmentioning

confidence: 99%

Coupled Torsional Vibration and Fatigue Damage of Turbine Generator Due to Grid Disturbance

Liu

Jiang

Chen

2014

Journal of Engineering for Gas Turbines and Power

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Crack failures continually occur in shafts of turbine generator, where grid disturbance is an important cau.se. To estimate influences of grid disturbance, coupled torsional vibration and fatigue damage of turbine generator shafts are analyzed in this work, with a case study in a 600MW steam unit in China. The analysis is the following: (i) coupled system is established with generator model and finite element method (FEM)-based shafts model, where the grid disturbance is signified by fluctuation of generator outputs and the shafts model is formed with lumped mass model (LMM) and continuous mass model (CMM), respectively: (ii) fatigue damage is evaluated in the weak location of the shafts through local torque response computation, stress calculation, and fatigue accumulation: and (Hi) failure-prevention approach is formed by solving the inverse problem in fatigue evaluation. The results indicate that the proposed scheme with continuous mass model can acquire more detailed and accurate local responses throughout the shafts compared with the scheme without coupled effects or the scheme using lumped mass model. Using the coupled torsional vibration scheme, fatigue damage caused by grid disturbance is evaluated and failure prevention rule is formed.

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Section: Introductionmentioning

confidence: 99%