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

机译:多单位核电站站点维修计划的多目标优化

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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:核电站的维护方案优化(NPPS)在过去几十年中一直是研究重点,现有的作品主要通过一次反应堆的推定进行。然而,多单元NPP站点设计(即单个网站,多个反应器)是一种常见的情况,其中反应器不是彼此独立的,而是通过复杂的内部和单元间机构连接。为了弥合研究差距并产生实际上有用的结果,在本研究中提出了一种在多单位NPP站点的上下文中进行维护程序的多目标优化的方法。维护优化作为三目标方案制定,旨在最大限度地减少多单位不可用,现场风险和成本。案例研究是对由现实世界双单元NPP网站适应的给水系统进行的,没有不确定性。可以得出结论,对于本文的案例研究,(i)风险态度,以风险类型的加权因素的形式,NPP决策者和监管机构的危险类型的放射性后果可能会影响最佳的维护调度和预计的客观价值; (ii)在不确定性下的优化模型可以作为没有不确定性的概括,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,而不会影响多单位的不可用或风险。

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