Research on Axial Power Deviation Safety Early Warning Technology Based on Online Simulation

被引：0

作者：

Xie, Hong-Yun ^{[1
]}

Tan, Ke ^{[1
]}

Huang, Wei-Jun ^{[1
]}

Zhang, Chao ^{[1
]}

Shen, Zhen-Yu ^{[1
]}

机构：

[1] China Nucl Power Engn Co Ltd, State Key Lab Nucl Power Safety Monitoring Techno, Shenzhen 518172, Peoples R China

来源：

NUCLEAR POWER PLANTS: INNOVATIVE TECHNOLOGIES FOR INSTRUMENTATION AND CONTROL SYSTEMS (ISNPP 2019) | 2020年 / 595卷

关键词：

Online simulation; Axial power deviation; Early warning technology; PREDICTION; SYSTEM;

D O I：

10.1007/978-981-15-1876-8_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, there have been a large number of researches on nuclear power plant (NPP) process simulation, such as the researches on the NPP full-scope dynamic process simulation. However, these simulation researches mainly adopt the simulation modeling calculation based on the offline mode and historical data, so they cannot keep up with the real field data. Hence, the application of online simulation technology in NPP has become a new research direction. Based on the NPP real-time information monitoring system and the full-scope simulation verification platform, a high accuracy mathematical model is established which can realize the parallel operation of simulation system and NPP systems. Since the axial power deviation is an important index that could reflect the safe operation state of NPP, the online early warning measures based on online faster-than-real-time simulation is proposed for axial power deviation. By monitoring the field key parameters, the online calculation and analysis are realized. In addition, they can also predict the future states of NPP equipment and systems. These results can provide the references for operators to balance the NPP economic efficiency and safe requirements.

引用

页码：38 / 45

页数：8

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