CV


FA
Hussein Eliasi

Hussein Eliasi

Associate Professor

دانشکده/پردیس: Electrical and Computer Engineering

گروه/دانشکده Electrical Power Engineering

Degree: Ph.D

CV
FA
Hussein Eliasi

Associate Professor Hussein Eliasi

دانشکده/پردیس: Electrical and Computer Engineering - گروه/دانشکده Electrical Power Engineering Degree: Ph.D |

Extended particle filter design for poisons concentrations estimation in a nuclear power plant using reactor power measurements under different reactor power conditions

AuthorsHussein Eliasi,Hossein Zahmatkesh
JournalAnnals of Nuclear Energy
Page number1-14
Serial number236
Volume number1
Paper TypeFull Paper
Published At2026
Journal GradeISI
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR،Scopus
KeywordsPressurized water reactor (PWR); Poisons concentrations; Particle filter (PF); Extended kalman filter (EKF); Extended particle filter (EPF)

Abstract

Accurate control of reactor power is one of the persistent challenges in the operation of nuclear power plants. The variation of neutron-absorbing fission products, mainly xenon and samarium, has a considerable influence on the reactor’s dynamic behavior and control performance. Since these isotopes cannot be directly measured with sufficient precision, it becomes essential to estimate their concentrations through advanced filtering methods. In this work, an Extended Particle Filter (EPF) is developed for xenon and samarium concentrations estimation in a Pressurized Water Reactor (PWR). The reactor dynamics are modeled by a one-point kinetics formulation that includes one delayed neutron group. To validate the proposed method, its performance is compared with the Particle filter (PF) and the Extended Kalman Filter (EKF) under different load-following scenarios. The simulation outcomes confirm that the Extended Particle Filter (EPF) delivers enhanced estimation precision and robustness, providing an effective solution for improving reactor power control performance.

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