XIA Hong, LI Bin, LIU Jian-xin. Research on 3D Power Distribution of PWR Reactor Core Based on RBF Neural Network[J]. Atomic Energy Science and Technology, 2014, 48(4): 698-702. DOI: 10.7538/yzk.2014.48.04.0698
Citation: XIA Hong, LI Bin, LIU Jian-xin. Research on 3D Power Distribution of PWR Reactor Core Based on RBF Neural Network[J]. Atomic Energy Science and Technology, 2014, 48(4): 698-702. DOI: 10.7538/yzk.2014.48.04.0698

Research on 3D Power Distribution of PWR Reactor Core Based on RBF Neural Network

  • Real-time monitor for 3D power distribution is critical to nuclear safety and high efficiency of NPP’s operation as well as the control system optimization. A method was proposed to set up a real-time monitor system for 3D power distribution by using of ex-core neutron detecting system and RBF neural network for improving the instantaneity of the monitoring results and reducing the fitting error of the 3D power distribution. A series of experiments were operated on a 300 MW PWR simulation system. The results demonstrate that the new monitor system works very well under condition of certain burnup range during the fuel cycle and reconstructs the real-time 3D distribution of reactor core power. The accuracy of the model is improved effectively with the help of several methods.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return