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In the accident handling strategy of the nuclear power plant, for the advanced Symptom-Based emergency operating procedures (SEOP), the correct setting of the set-points can be used to decrease or limit the effect of the event, so it is very important for the design of the SEOP. However, there are many critical set-points in the current SEOP often do not consider the influence of instrument error, which will greatly reduce the accuracy of the set-points measurement. Therefore, it is necessary to optimize the critical set-points in the SEOP and take into account the influence of instrument errors on the set-points. At the same time, the instrument equipment should have different instrument accuracy under normal containment conditions and adverse containment conditions. For conservative consideration, it is necessary to analyze and determine the two containment conditions and consider the influence of the instrument error under adverse containment conditions in the SEOP. HPR1000 Units use the advanced SEOP, including event-based guidelines and critical safety function status recover guidelines. This paper mainly describes the methods to optimize the critical set-points of SEOP within HPR1000 Units, including the analysis of nominal set-points, the definition of adverse containment conditions (Analysis of Initiation Incident of Unit 5 & 6 of Fuqing Nuclear Power Plant, 2014; Preliminary Safety Analysis Report of Unit 5 & 6 of Fuqing Nuclear Power Plant, 2015; Equipment Appraisal Conditions of Unit 5 & 6 of Fuqing Nuclear Power Plant 2016) [2–4], the calculation of the instrument accuracy, the analysis of the influence from instrument accuracy under adverse containment conditions, and the verification and confirmation of the optimized set-points in the procedures. This paper use PRZR level as an example to optimize the level value which consider the instrument error in calculation (Xu in Sci Technol Inf 34, 2013), and finally verify the availability and necessity of the set-point optimization through the simulation platform.

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The Optimization Study on the Set-Points of HPR1000 Under Different Containment Conditions

  • 会议论文

  • 发表日期：

    2026年

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  • Tianqi Si,
  • Yu Du,
  • Ke Yi

摘要

In the accident handling strategy of the nuclear power plant, for the advanced Symptom-Based emergency operating procedures (SEOP), the correct setting of the set-points can be used to decrease or limit the effect of the event, so it is very important for the design of the SEOP. However, there are many critical set-points in the current SEOP often do not consider the influence of instrument error, which will greatly reduce the accuracy of the set-points measurement. Therefore, it is necessary to optimize the critical set-points in the SEOP and take into account the influence of instrument errors on the set-points. At the same time, the instrument equipment should have different instrument accuracy under normal containment conditions and adverse containment conditions. For conservative consideration, it is necessary to analyze and determine the two containment conditions and consider the influence of the instrument error under adverse containment conditions in the SEOP. HPR1000 Units use the advanced SEOP, including event-based guidelines and critical safety function status recover guidelines. This paper mainly describes the methods to optimize the critical set-points of SEOP within HPR1000 Units, including the analysis of nominal set-points, the definition of adverse containment conditions (Analysis of Initiation Incident of Unit 5 & 6 of Fuqing Nuclear Power Plant, 2014; Preliminary Safety Analysis Report of Unit 5 & 6 of Fuqing Nuclear Power Plant, 2015; Equipment Appraisal Conditions of Unit 5 & 6 of Fuqing Nuclear Power Plant 2016) [2–4], the calculation of the instrument accuracy, the analysis of the influence from instrument accuracy under adverse containment conditions, and the verification and confirmation of the optimized set-points in the procedures. This paper use PRZR level as an example to optimize the level value which consider the instrument error in calculation (Xu in Sci Technol Inf 34, 2013), and finally verify the availability and necessity of the set-point optimization through the simulation platform.