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- Title
Reliability Evaluation of an NPP's Emergency Power Supply System Considering Uncertainty, Sensitivity and Testing Interval Analyses.
- Authors
Kemikem, Dallal; Boudour, Mohamed; Benabid, Rabah
- Abstract
This paper proposes a reliability analysis methodology of an electrical power system (EPS) in a French nuclear power plant model based on the fault tree analysis method. The RiskSpectrum PSA software is used for fault tree development, minimal cut set (MCS) identification, sensitivity and uncertainty analyses. A detailed tested reliability model of standby diesel generators (DGs) is proposed considering various testing parameters. Furthermore, a reliability goal problem is formulated as an optimization problem to eliminate the aging impact on DGs reliability using the genetic algorithms (GAs). The obtained results show that the EPS failure probability is 1.39E–06 with an error factor of 3.58. The importance and the sensitivity analyses provide the most important and sensitive components, respectively. The proposed standby reliability model provides a good insight on the impact of testing parameters on the EPS reliability. Furthermore, the proposed optimization problem shows a high capability to eliminate the aging impact on DGs reliability by TI optimization. The obtained results are compared with those given by the reliability block diagram (RBD) method where it is shown that they are very close in terms of failure probability, MCS identification and importance factors.
- Subjects
EMERGENCY power supply; NUCLEAR power plants; INTERVAL analysis; FAULT trees (Reliability engineering); BLOCK diagrams; DIESEL electric power-plants; GENETIC algorithms
- Publication
Journal of Failure Analysis & Prevention, 2023, Vol 23, Issue 2, p751
- ISSN
1547-7029
- Publication type
Article
- DOI
10.1007/s11668-023-01611-0