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Analysis of site operating state contributions for multi-unit PSA with Korean NPP Sites

机译:韩国核电厂多机组PSA场址运行状态贡献分析

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? 2023Multi-unit probabilistic safety assessment (PSA) projects targeting nuclear power plants are focusing on the risk of multi-unit sites as an expansion from single unit PSA projects. The evaluation of PSA projects requires the duration of states, while the duration of site operating states (SOSs) used for multi-unit PSA are based on assumptions or operation history data, which have high variance and need improvement. In this paper, a simulation model calculating the contribution for each SOS is proposed based on the operation history data. Input data is the operation state for each unit in unit days, where length of components for each SOSs gained by the input data is processed with Bayesian information criterion to gain the most well-fitting probability distribution. The output provides the portion of all SOSs, and case studies cover all sites in Korea and investigate sensitivity analysis of unit type and trip considerations. The result shows that full-operation SOS is around 30 percent, and more than one unit is down for around 70 percent. The usage of these data is able to show alternative point-of-views of declaring the importance of each SOS in multi-unit PSA projects as well as leading the overall risk of the site.
机译:?2023年针对核电厂的多机组概率安全评估(PSA)项目将重点放在多机组场址的风险上,作为单机组PSA项目的扩展。PSA项目的评估需要状态的持续时间,而用于多单元PSA的站点运行状态(SOS)的持续时间是基于假设或运行历史数据,这些假设或运行历史数据具有很大的差异性,需要改进。该文基于运行历史数据,提出了计算每个SOS贡献的仿真模型。输入数据是每个单元的运行状态(以单位日为单位),其中输入数据获得的每个 SOS 的分量长度使用贝叶斯信息准则进行处理,以获得最拟合的概率分布。输出提供了所有 SOS 的部分,案例研究涵盖了韩国的所有站点,并调查了单元类型和行程考虑因素的敏感性分析。结果显示,全面运行的 SOS 约为 30%,多个单位的下降率约为 70%。这些数据的使用能够显示其他观点,即声明每个SOS在多单元PSA项目中的重要性,以及领导现场的整体风险。

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