DocumentCode :
2116023
Title :
Stochastic evaluation of turbine-generator shaft fatigue due to system faults and faulty synchronization
Author :
Aboreshaid, Saleh ; Al-Dhalaan, S.
Author_Institution :
Gen. Org. for Tech. Educ. & Vocational Training, Riyadh, Saudi Arabia
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
186
Abstract :
In spite of the fact that the nature of the interaction between transmission network disturbances and the turbine-generator shaft system is subject to a relatively large uncertainty, the analysis of turbine-generator shaft torques has been usually performed using a deterministic framework. This paper presents a more realistic probabilistic approach in studying this phenomenon. In this approach, an analytical technique is used to evaluate the maximum turbine-generator shaft torsional torques considering the uncertainties associated with system faults and faulty synchronization. Since the probabilistic nature of the basic initiating factors of events such as the error angle, the generator speed, the fault type, the fault location and line reclosing scheme are independent and mutually exclusive, the conditional probability theorem can be utilized to assess the turbine-generator shaft fatigue. A calculation method is shown for the expected life expenditure ratio and the expected shaft lifetime taking into consideration these factors and using the shaft strength characteristics
Keywords :
deterministic algorithms; fault location; machine theory; power transmission faults; stochastic processes; synchronisation; torque; torsion; turbogenerators; expected life expenditure ratio; expected shaft lifetime; fault location; fault type; faulty synchronization; line reclosing scheme; power system faults; probabilistic approach; shaft strength characteristics; stochastic evaluation; transmission network disturbances; turbine-generator shaft fatigue assessment; turbine-generator shaft torsional torques; Fatigue; Fault location; Performance analysis; Power system faults; Power system reliability; Power system stability; Power system transients; Shafts; Stochastic systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
Type :
conf
DOI :
10.1109/PESW.2000.849952
Filename :
849952
Link To Document :
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