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Best compromise multi-objective optimization of testing interval in an NPP’s emergency power supply system considering the ageing effects

  • 10-07-2023
  • Original Paper
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Abstract

The article introduces a multi-objective optimization approach for the testing intervals of diesel generators in an NPP's emergency power supply system, aiming to enhance reliability and minimize testing costs. It addresses the complex trade-offs between cost and reliability, incorporating the aging effects of generators into the optimization process. The methodology combines Fault Tree Analysis with multi-objective optimization techniques, presenting a significant advancement over existing single-objective methods. The study includes detailed case studies and validation techniques, demonstrating the effectiveness of the proposed approach in achieving a balanced solution that considers both system reliability and economic constraints. The research highlights the importance of considering aging effects in maintenance planning and provides valuable insights into the optimization of testing intervals in critical power supply systems.

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Title
Best compromise multi-objective optimization of testing interval in an NPP’s emergency power supply system considering the ageing effects
Author
Rabah Benabid
Publication date
10-07-2023
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 6/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-023-01913-4
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