Comparison of the error-integral performance indexes in a GA-tuned PID controlling system of a PWR-type nuclear reactor point-kinetics model

SMH Mousakazemi - Progress in Nuclear Energy, 2021 - Elsevier
The control of a nuclear power plant is important due to its nonlinear dynamics. An optimized
proportional–integral–derivative (PID) controller is a popular tool to this end. PID is tuned by …

Review of nuclear power plant control research: Neural network-based methods

G Zhou, D Tan - Annals of Nuclear Energy, 2023 - Elsevier
The control systems of nuclear power plants (NPPs) implement the controls of a nuclear
reactor and its power system, equipment, process, and parameters. The performance of the …

Algorithm for autonomous power-increase operation using deep reinforcement learning and a rule-based system

D Lee, AM Arigi, J Kim - IEEE Access, 2020 - ieeexplore.ieee.org
The power start-up operation of a nuclear power plant (NPP) increases the reactor power to
the full-power condition for electricity generation. Compared to full-power operation, the …

Modeling and control of nuclear reactor cores for electricity generation: A review of advanced technologies

G Li, X Wang, B Liang, X Li, B Zhang, Y Zou - Renewable and Sustainable …, 2016 - Elsevier
This investigation is to review advanced technologies for modeling and control of reactor
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …

[HTML][HTML] New design of variable structure control based on lightning search algorithm for nuclear reactor power system considering load-following operation

M Elsisi, H Abdelfattah - Nuclear Engineering and Technology, 2020 - Elsevier
Reactor control is a standout amongst the most vital issues in the nuclear power plant. In this
paper, the optimal design of variable structure controller (VSC) based on the lightning …

Autonomous operation algorithm for safety systems of nuclear power plants by using long-short term memory and function-based hierarchical framework

D Lee, PH Seong, J Kim - Annals of Nuclear Energy, 2018 - Elsevier
With the improvement of computer performance and the emergence of cutting-edge artificial
intelligence (AI) algorithms, an autonomous operation based on AI is being applied to many …

Computational effort comparison of genetic algorithm and particle swarm optimization algorithms for the proportional–integral–derivative controller tuning of a …

SMH Mousakazemi - Annals of Nuclear Energy, 2020 - Elsevier
Power level control is important in nuclear power plants, and some dynamic parameters
depend on the output power. One of the popular controllers is proportional–integral …

Application of artificial intelligence in detection and mitigation of human factor errors in nuclear power plants: a review

M Sethu, B Kotla, D Russell, M Madadi, NA Titu… - Nuclear …, 2023 - Taylor & Francis
Human factors and ergonomics have played an essential role in increasing the safety and
performance of operators in the nuclear energy industry. In this critical review, we examine …

Dynamic analysis of hybrid energy systems under flexible operation and variable renewable generation–Part I: Dynamic performance analysis

HE Garcia, A Mohanty, WC Lin, RS Cherry - Energy, 2013 - Elsevier
Dynamic analysis of HES (hybrid energy systems) under flexible operation and variable
renewable generation is considered in this two-part communication to better understand …

Robust on-line diagnosis tool for the early accident detection in nuclear power plants

S Tolo, X Tian, N Bausch, V Becerra… - Reliability Engineering & …, 2019 - Elsevier
Any loss of coolant accident mitigation strategy is necessarily bound by the promptness of
the break detection as well as the accuracy of its diagnosis. The availability of on-line …