Аннотация.
Статья посвящена актуальной задаче создания цифровых двойников энергоблоков атомных электростанций с реактором типа ВВЭР-1000 на основе гибких моделирующих комплексов. Представлен анализ текущего состояния технологий цифрового моделирования, подчеркивается их возрастающая роль в атомной энергетике, а также рассматриваются основные преимущества и недостатки существующих решений. Основное внимание уделено концепции гибкого моделирующего комплекса как ключевого компонента при разработке цифровых двойников. Отмечается, что гибкость архитектуры данного комплекса обеспечивает возможность адаптации к различным режимам работы энергоблоков и изменениям их эксплуатационных характеристик.
Ключевые слова:
гибкий моделирующий комплекс, цифровой двойник, энергоблок АЭС.
DOI 10.14357/20718632250208
EDN WBKNWW
Стр. 87-99.
Литература
1. Ghenai C., Husein L.A., Al Nahlawi M., Hamid A K., Bettayeb M. Recent trends of digital twin technologies in the energy sector: A comprehensive review // Sustainable Energy Technologies and Assessments. – 2022. – 54. – Pp. 102837. 2. Yao Y., Patterson E.A., Taylor R.J. The Influence of Digital Technologies on Knowledge Management in Engineering: A Systematic Literature Review // IEEE Transactions on Knowledge and Data Engineering. – 2024. – 36(2). – Pp. 854–867. 3. Silion D., Constantinescu G.-G., Iftene A. Leveraging Digital Twin Concepts for Future Applications // 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Craiova, Romania. – 2024. – Pp. 1–5. 4. Li Z., Wang H., Peng M., Xu R., Yu Y., Zhou G. Digital Twin Based Operation Support System of Nuclear Power Plant // 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI), Boston, MA, USA. – 2022. – Pp. 1–6. 5. Jharko E., Chernyshov K. Digital Twins: Forecasting and Formation of Optimal Control Programs for NPP Power Units // 2023 International Russian Smart Industry Conference (SmartIndustryCon), Sochi, Russian Federation. – 2023. – Pp. 158–163. 6. Wu X., Zhou Z., Xing Z., Chen Y. Research on Integration and Optimization of Intelligent Algorithm in Digital Twin Power Plant Control System // 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Hangzhou, China. – 2024. – Pp. 974–980. 7. Sene F., Doumbia M. L., Chériti A. Digital Twin Concept for Output Current Prediction of MPPT P&O Controller // 2024 IEEE 12th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada. – 2024. – Pp. 16–19. 8. Abdulova E. Approaches to the Selection of Predictive Models Based on Associative Search for Assessing the Risk Potential of the Technological Process at the NPP Power Unit // 2024 17th International Conference on Management of Large-Scale System Development (MLSD), Moscow, Russian Federation. – 2024. – Pp. 1–5. 9. Natgunanathan I., Mak-Hau V., Rajasegarar S., Anwar A. Deakin microgrid digital twin and analysis of AI models for power generation prediction // Energy Conversion and Management: X. – 2023. – 18. – Pp. 100370. 10. Poletikin A., Promyslov V., Semenkov K. Digital Twins as a Key Technology for Ensuring Effective Modernization of Complex Industrial Systems // 2021 International Russian Automation Conference (RusAutoCon), Sochi, Russian Federation. – 2021. – Pp. 628–632. 11. Byvaykov M. E. The Application of Digital Twins of the Subsystems of APCS of NPP at the Stage of Factory Tests // 2023 16th International Conference Management of large-scale system development (MLSD, Moscow, Russian Federation. – 2023. – Pp. 1–5. 12. Vajpayee V., Becerra V., Bausch N., Deng J., Shimjith S.R., Arul A.J. Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant // Nuclear Engineering and Design. – 2020. – 370. – Pp. 110901. 13. Ismail F.B., Al-Faiz H., Hasini H., Al-Bazi A., Kazem H.A. A comprehensive review of the dynamic applications of the digital twin technology across diverse energy sectors // Energy Strategy Reviews. – 2024. – 52. – Pp. 101334. 14. Hu R., Yu Z., Xiang Y., Li B., Ma N., Huang Z. Simulation and Optimization of a Techno-economic Virtual Power Plant Using CloudPSS DSLab // 2024 4th Power System and Green Energy Conference (PSGEC), Shanghai, China. – 2024. – Pp. 324–329. 15. Liu Y., Luo C., Chen C., Wang Z., Liu M. Digital twin modeling and fault diagnosis on the feedwater pump system of thermal power plant // 2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI), Wuhan, China. – 2024. – Pp. 97–103. 16. Abdulova E. Modification of the Risk Potential Predicting Algorithm for Monitoring the State of the NPP Power Unit // 2023 International Russian Smart Industry Conference (SmartIndustryCon), Sochi, Russian Federation. – 2023. – Pp. 675–679. 17. Abdulova E. Towards Some Aspects of Forecasting the Risk Potential of NPP Processes: Model Selection (Using the Example of Cooling Water Heating Forecast) // 2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation. – 2024. – Pp. 722–728. 18. Xiao Y., Liu H., Zhang Q., Chen J. Reinforcement Learning Based Automatic Synchronization Method for Nuclear Power Digital Twin Model // IEEE Access. – 2024. – 12. – Pp. 87625–87632. 19. Jharko E. Digital Twin of Npps: Simulation Systems and Verification // 2021 International Russian Automation Conference (RusAutoCon), Sochi, Russian Federation. – 2021. – Pp. 852–857. 20. Kim J.Y., Yoo S.C., Seo J.H., Kim J.H., Bang I.C. Design and construction of fluid-to-fluid scaled-down small modular reactor platform: As a testbed for the nuclear-based hydrogen production. Nuclear Engineering and Technology. – 2024. – 56(3). – Pp. 1037–1051. 21. Wrigley P., Wood P., Robertson D., Joannou J., O’Neill S., Hall R. Modular reactors: What can we learn from modular industrial plants and off site construction research // Nuclear Engineering and Technology. – 2024. – 56(1). – Pp. 222–232. 22. Hasan S., Hossain I.U., Hasan N., Sakib I.B., Hasan A., Amin T.U. Forecasting and predictive analysis of sourcewise power generation along with economic aspects for developed countries // Energy Conversion and Management: X. – 2024. – 22. – Pp. 100558. 23. Жарко Е. Ф. Гибкий моделирующий комплекс для систем поддержки оператора АЭС с реактором типа ВВЭР-1000 // Автоматика и телемеханика. – 2006. – 5. – С. 80–92. 24. Jharko E. Flexible Modeling System: Steam Generator Model // 2023 International Russian Automation Conference (RusAutoCon). – 2023. – Pp. 1157–1162. 25. Bakhtadze N.N., Lototsky V.A., Vlasov S.A., Sakrutina E.A. Associative Search and Wavelet Analysis Techniques in System Identification // IFAC Proceedings Volumes. – 2012. – 45(16). – Pp. 1227–1232.
|