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Multi-objective optimization of maintenance program in multi-unit nuclear power plant sites

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  • Zhang, Sai
  • Du, Mengyu
  • Tong, Jiejuan
  • Li, Yan-Fu

Abstract

Maintenance program optimization of nuclear power plants (NPPs) has been a research focus over the past decades, and the existing works are mostly conducted with a one-reactor-at-a-time presumption. Multi-unit NPP site design (i.e., a single site houses multiple reactors), however, is a common case, in which the reactors are not independent from each other, rather, connected by complex intra- and inter-unit mechanisms. To bridge the research gap and generate practically useful results, a methodology of conducting multi-objective optimization for maintenance program in the context of multi-unit NPP sites is proposed in this research. The maintenance optimization is formulated as a tri-objective scheme aiming at minimizing multi-unit unavailability, site-wide risk and cost. Case studies are conducted on feedwater systems adapted from a real-world two-unit NPP site with and without uncertainties. It can be concluded that, for the case studies in this paper, (i) risk attitudes, in the form of weighting factors of risk types with radiological consequences of different severities, of NPP decision makers and regulators could notably affect the optimal maintenance scheduling and the projected objective values; (ii) the optimization model under uncertainties can be taken as a generalization of that without uncertainties and could have the chance of discovering new Pareto-optimal solutions leading to lower costs without compromising multi-unit unavailability or risk.

Suggested Citation

  • Zhang, Sai & Du, Mengyu & Tong, Jiejuan & Li, Yan-Fu, 2019. "Multi-objective optimization of maintenance program in multi-unit nuclear power plant sites," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 532-548.
    • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:532-548
    DOI: 10.1016/j.ress.2019.03.034
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    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    2. Le Duy, Tu Duong & Vasseur, Dominique, 2018. "A practical methodology for modeling and estimation of common cause failure parameters in multi-unit nuclear PSA model," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 159-174.
    3. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
    4. Eusgeld, Irene & Nan, Cen & Dietz, Sven, 2011. "“System-of-systems†approach for interdependent critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 679-686.
    5. Schroer, Suzanne & Modarres, Mohammad, 2013. "An event classification schema for evaluating site risk in a multi-unit nuclear power plant probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 40-51.
    6. Zhou, Taotao & Modarres, Mohammad & Droguett, Enrique López, 2018. "An improved multi-unit nuclear plant seismic probabilistic risk assessment approach," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 34-47.
    7. Martorell, S. & Sanchez, A. & Carlos, S., 2007. "A tolerance interval based approach to address uncertainty for RAMS+C optimization," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 408-422.
    8. Zio, Enrico & Aven, Terje, 2011. "Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?," Energy Policy, Elsevier, vol. 39(10), pages 6308-6320, October.
    9. Zio, Enrico & Podofillini, Luca, 2007. "Importance measures and genetic algorithms for designing a risk-informed optimally balanced system," Reliability Engineering and System Safety, Elsevier, vol. 92(10), pages 1435-1447.
    10. Modarres, Mohammad & Zhou, Taotao & Massoud, Mahmoud, 2017. "Advances in multi-unit nuclear power plant probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 87-100.
    11. Ferrario, E. & Zio, E., 2014. "Assessing nuclear power plant safety and recovery from earthquakes using a system-of-systems approach," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 103-116.
    12. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    13. Zhang, Sai & Tong, Jiejuan & Zhao, Jun, 2016. "An integrated modeling approach for event sequence development in multi-unit probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 147-159.
    14. Le Duy, Tu Duong & Vasseur, Dominique & Serdet, Emmanuel, 2016. "Probabilistic Safety Assessment of twin-unit nuclear sites: Methodological elements," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 250-261.
    15. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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