Acknowledgement
This work was supported by a Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean government (MOTIE) (No. 20211510100020) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT). (No.RS-2022-00144042).
References
- Stuart Bennett, The past of pid controllers, Annu. Rev. Control 25 (2001) 43-53. https://doi.org/10.1016/S1367-5788(01)00005-0
- H. Basher, Autonomous Control of Nuclear Power Plants, 2003 (ORNL/TM-2003/252)," United States.
- R.E. Uhrig, L.H. Tsoukalas, Multi-agent-based anticipatory control for enhancing the safety and performance of gen4 NPPs during long-term semi-autonomous operation, Prog. Nucl. Energy 43 (1-4) (2003) 113-120. https://doi.org/10.1016/S0149-1970(03)00003-9
- R.T. Wood, B.R. Upadhyaya, D.C. Floyd, An autonomous control framework for advanced reactors, Nucl. Eng. Technol. 49 (Issue 5) (2017) 896-904. https://doi.org/10.1016/j.net.2017.07.001
- J.T. Kim, K.C. Kwon, I.K. Hwang, D.Y. Lee, W.M. Park, J.S. Kim, S.J. Lee, Development of advanced I&C in nuclear power plants: ADIOS and ASICS, Nucl. Eng. Des. 207 (1) (2001) 105-119. https://doi.org/10.1016/S0029-5493(00)00430-1
- S.J. Lee, P.H. Seong, Development of automated operating procedure system using fuzzy colored petri nets for nuclear power plants, Ann. Nucl. Energy 31 (8) (2004) 849-869. https://doi.org/10.1016/j.anucene.2003.12.002
- M. Boroushaki, M.B. Ghofrani, C. Lucas, M.J. Yazdanpanah, An intelligent nuclear reactor core controller for load following operations, using recurrent neural networks and fuzzy systems, Ann. Nucl. Energy 30 (1) (2003) 63-80. https://doi.org/10.1016/S0306-4549(02)00047-6
- S.J. Lee, K. Mo, P.H. Seong, Development of an integrated decision support system to aid the cognitive activities of operators in main control rooms of nuclear power plants, in: 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2007, pp. 146-152.
- M.H. Hsieh, S.L. Hwang, K.H. Liu, S.F.M. Liang, C.F. Chuang, A decision support system for identifying abnormal operating procedures in a nuclear power plant, Nucl. Eng. Des. 249 (2012) 413-418. https://doi.org/10.1016/j.nucengdes.2012.04.009
- J.M. Kim, G. Lee, C. Lee, S.J. Lee, Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units, Nucl. Eng. Technol. 52 (9) (2020) 2009-2016. https://doi.org/10.1016/j.net.2020.02.002
- J. Kim, D. Lee, J. Yang, S. Lee, Conceptual design of autonomous emergency operation system for nuclear power plants and its prototype, Nucl. Eng. Technol. 52 (2) (2020) 308-322. https://doi.org/10.1016/j.net.2019.09.016
- P.H. Seong, H.G. Kang, M.G. Na, J.H. Kim, G. Heo, Y. Jung, Advanced mmis toward substantial reduction in human errors IN NPPS, Nucl. Eng. Technol. 45 (2) (2013) 125-140. https://doi.org/10.5516/NET.04.2013.700
- KINS, Safety and Operational Status of Nuclear Power Plants in Korea", vol. 21, KINS/ER-035, 2020.
- D. Lee, A.M. Arigi, J. Kim, Algorithm for autonomous power-increase operation using deep reinforcement learning and a rule-based system, IEEE Access ume 8 (2020) 196727-196746. https://doi.org/10.1109/ACCESS.2020.3034218
- J.M. Kim, H.J. Yang, S.J. Lee, Autonomous startup operation for nuclear power plants using a reinforcement learning algorithm, in: International Symposium on Future I&C for Nuclear Power Plants, 2021.
- T. Haarnoja, A. Zhou, P. Abbeel, S. Levine, Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor, in: International Conference on Machine Learning (ICML), PMLR, 2018, pp. 1861-1870.
- S. Hochreiter, J. Schmidhuber, Long short-term memory, Neural Comput. 9 (8) (1997) 1735-1780. https://doi.org/10.1162/neco.1997.9.8.1735
- R.S. Sutton, A.G. Barto, Reinforcement Learning: an Introduction, 2nd, The MIT Press, 2018.
- D. Lee, S. Koo, I. Jang, J. Kim, Jonghyun, Comparison of deep reinforcement learning and PID controllers for automatic cold shutdown operation, Energies 15 (Issue 8) (2022) 2834.
- J. Bae, G. Kim, S.J. Lee, Real-time prediction of nuclear power plant parameter trends following operator actions, Expert Syst. Appl. 186 (2021), 115848.
- KAERI, Advanced Compact Nuclear Simulator Textbook, 1990.
- Diederik P. Kingma, Ba Jimmy, Adam: A Method for Stochastic Optimization, 2014 arXiv preprint arXiv:1412.6980.
- D.M. Guisi, R. Ribeiro, M. Teixeira, A.P. Borges, F. Enembreck, Reinforcement learning with multiple shared rewards, Procedia Comput. Sci. 80 (2016) 855-864. https://doi.org/10.1016/j.procs.2016.05.376
- G. Dulac-Arnold, D. Mankowitz, T. Hester, Challenges of Real-World Reinforcement Learning, 2019 arXiv preprint arXiv:1904.12901.