定性与定量配置风险评估在AP1000机组停运调度优化中的应用

Zhen-qi Wang, Weibing Huang, Jian Zhou, H. Lin, Yinyong Tao, Jun Zhang
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引用次数: 0

摘要

配置风险管理是指根据核电站的实际运行配置,利用概率安全评估技术计算风险指标,进行风险管理。自1990年开发以来,该方法已广泛应用于核电站。它可以帮助电厂人员优化维修计划调度,控制机组核风险水平,提高电厂的安全性。核电站停运停运期间,需要进行大量的工作,导致系统设备集中停运,这一时期的核安全问题引起了电厂的高度重视。因此,为确保机组停运和停运的核风险可控,三门核电作为全球首台AP1000机组,在停运期间积极进行配置风险管控,在国内首次通过定性与定量相结合的配置风险评估方法,对停运计划调度进行优化,全面排查和消除潜在风险源。本文将主要介绍配置风险管理的发展背景,并以三门核电AP1000机组为对象,介绍定性和定量配置风险评估在停运调度优化中的应用及取得的成果。此外,还将对定性和定量配置风险评估技术进行比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Qualitative and Quantitative Configuration Risk Assessment in AP1000 Unit Outage Scheduling Optimization
Configuration risk management refers to the use of probabilistic safety assessment technology to calculate risk indicators and perform risk management based on the actual operation configuration of nuclear power plant. Since its development in 1990, this method has been widely used in nuclear power plants. It can help power plant personnel optimize maintenance plan scheduling, control the nuclear risk level of units and improve the safety of power plants. During the shutdown and outage of the nuclear power plant, a lot of work has to be performed, resulting in the centralized shutdown of system equipment, and the nuclear safety during this period has attracted the attention of the power plant. Therefore, in order to ensure that the nuclear risk of the unit shutdown and outage can be controlled, Sanmen Nuclear Power, as the world’s first AP1000 unit, actively performs configuration risk management and control during the shutdown, It is the first time in China to optimize the outage plan scheduling through the combination of qualitative and quantitative configuration risk assessment method, so as to comprehensively investigate and eliminate the potential risk sources. This paper will mainly introduce the development background of configuration risk management, and take Sanmen Nuclear Power AP1000 unit as the object to introduce the application and achievements of qualitative and quantitative configuration risk assessment in outage scheduling optimization. In addition, it will also make a comparative analysis of qualitative and quantitative configuration risk assessment techniques.
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