能源研究与管理2025，Vol.17Issue(3)：46-50,5.DOI:10.16056/j.2096-7705.2025.03.007
核电机组出力监督集合分析模型开发与应用
Research on the Set Analysis Method of CPR1000 Nuclear Power Plant Output Supervision
摘要
Abstract
To address operational anomalies in nuclear unit output,this study leverages multi-year supervisory practices at a coastal nuclear facility to propose a streamlined ensemble analytics model for power output monitoring.By defining the thermal system's hot leg(heat transport section),core thermal-hydraulic region,and cold leg(coolant return section)as sub-ensembles-supplemented with characteristic curves regressed from operational parameters such as seawater temperature,thermal power output,turbine governor stage pressure,and condenser pressure the model enables rapid anomaly identification for deviations exceeding 2 MW during practical implementation,facilitating targeted fault section isolation.Deployment of this ensemble diagnostics framework has effectively detected critical failures including thermal instrumentation drift,duplex low-pressure heater performance degradation,and cold-leg operational deviations.This methodology offers a transferrable paradigm for output diagnostics across nuclear power installations.关键词
核电/机组出力/集合分析/性能监督/热力系统诊断Key words
nuclear power plant/unit output/set analysis/performance monitoring/thermodynamic system diagnosis分类
能源科技引用本文复制引用
周帅,张大勇,赵清森,邓德兵..核电机组出力监督集合分析模型开发与应用[J].能源研究与管理,2025,17(3):46-50,5.基金项目
中广核集团尖峰计划项目(R-2024SZSO71TF) （R-2024SZSO71TF）
