一种核电机组高压加热器解列工况仿真计算方法
By integrating the mechanistic model and the support vector regression model, and combining the Bayesian optimization algorithm to optimize the hyperparameters, the simulation calculation problem of nuclear power units under the high-pressure heater disconnection condition was solved, achieving high-precision and high-reliability simulation calculations, and guiding the safe and economical operation of nuclear power units.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CNNC NUCLEAR POWER OPERATION MANAGEMENT CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve accurate simulation calculations under high-pressure heater disconnection conditions, leading to large fluctuations in nuclear power unit operating parameters, which impacts safety and economy. In particular, there is a lack of effective hybrid modeling methods under small sample conditions.
By integrating the mechanistic model and the support vector regression model, and through iterative calculation and data-driven prediction, combined with the Bayesian optimization algorithm to optimize hyperparameters, accurate simulation calculations can be achieved under the high-pressure heater disconnection condition.
It improves the accuracy and interpretability of simulation calculations, enabling rapid and accurate prediction of critical operating states of nuclear power units, guiding operators, preventing nuclear power exceedances, and enhancing unit safety and economy.
Smart Images
Figure CN122154496B_ABST