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Use of advanced computational methods for reactivity estimation and instrumentation and control cyber security assessment in nuclear energy systems

Grant number: 16/04600-0
Support type:Regular Research Grants
Duration: July 01, 2016 - June 30, 2018
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:José Roberto Castilho Piqueira
Grantee:José Roberto Castilho Piqueira
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Assoc. researchers: Diego Alves Correa ; Felipe Ramos Antunes ; José Jaime da Cruz ; José Osvaldo de Souza Guimarães ; Luiz Felipe Peterle Do Nascimento ; Ricardo Paulino Marques ; Rodney Aparecido Busquim e Silva

Abstract

The use of the KF predictive tool, an optimum estimator for linear systems, and derived filters, such as the EKF, in the nuclear field is not common. This work will implement a reactivity-forecasting toll, using a stochastic approach, to estimate a core-position dependent reactivity at HZP and HFP, assuming different neutron flux detectors core-positions, to mitigate or minimize the uncertainty and errors during the reactivity measurement. Moreover, the use of estimation tools in digital I&C cyber security is also not common. This work aims to implement an application of a dynamic system and state estimation to provide a point defense option against cyber attacks. Besides simulation activities, a hardware-in-the-loop (HIL) test bed, using field programmable gate array (FPGA) and programmable logic controllers (PLCs), will be implemented for testing purposes. The HIL will provide an opportunity to simulate the NPP conditions using the dynamic model, and by adding the hardware needed for the controlling task. The EKF, with adequate degree of accuracy, will allow the supervision of selected state variables, which may be object of a cyber attack. presents the I&C cyber security defense strategy. A traditional NPP will be modeled using the RELAP 5 or/and PARCS 3D codes. The IPK and the EKF modeling will be based on the point kinetics reactor equations (PKRE), using a state-space model, and they will be implemented using the MATLAB simulation environment. A set of real data will also be used as input for both algorithms. A benchmark strategy, using the codes and data, will be implemented. (AU)