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

机译:多单元核电站场址维护计划的多目标优化

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摘要

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.
机译:过去几十年来,核电厂(NPPs)的维护计划优化一直是研究的重点,而现有的工作大多是一次假设一个反应器进行的。但是,多单元NPP站点设计(即,一个站点中装有多个反应堆)是一种常见情况,其中反应堆不是彼此独立的,而是通过复杂的单元间和单元间机制连接的。为了缩小研究差距并产生实际有用的结果,本研究提出了一种在多单元核电厂站点范围内对维护程序进行多目标优化的方法。维护优化制定为三目标方案,旨在最大程度地减少多单元可用性,站点范围的风险和成本。案例研究是在具有和没有不确定性的现实世界两单元核电厂站点改编的给水系统上进行的。可以得出结论,就本文的案例研究而言,(i)NPP决策者和监管者以风险类型的加权因子形式(具有不同严重程度的放射学后果)的风险态度会显着影响最佳维护计划和预计的目标价值; (ii)不确定性条件下的优化模型可以看作是没有不确定性条件的模型的推广,并且可能有机会发现新的帕累托最优解决方案,从而降低成本而又不影响多单元的可用性或风险。

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