IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i11p7620-7639d42524.html
   My bibliography  Save this article

Saturated Adaptive Output-Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors

Author

Listed:
  • Zhe Dong

    (Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
    Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education of China, Beijing 100084, China)

Abstract

Small modular reactors (SMRs) are those nuclear fission reactors with electrical output powers of less than 300 MW e . Due to its inherent safety features, the modular high temperature gas-cooled reactor (MHTGR) has been seen as one of the best candidates for building SMR-based nuclear plants with high safety-level and economical competitive power. Power-level control is crucial in providing grid-appropriation for all types of SMRs. Usually, there exists nonlinearity, parameter uncertainty and control input saturation in the SMR-based plant dynamics. Motivated by this, a novel saturated adaptive output-feedback power-level control of the MHTGR is proposed in this paper. This newly-built control law has the virtues of having relatively neat form, of being strong adaptive to parameter uncertainty and of being able to compensate control input saturation, which are given by constructing Lyapunov functions based upon the shifted-ectropies of neutron kinetics and reactor thermal-hydraulics, giving an online tuning algorithm for the controller parameters and proposing a control input saturation compensator respectively. It is proved theoretically that input-to-state stability (ISS) can be guaranteed for the corresponding closed-loop system. In order to verify the theoretical results, this new control strategy is then applied to the large-range power maneuvering control for the MHTGR of the HTR-PM plant. Numerical simulation results show not only the relationship between regulating performance and control input saturation bound but also the feasibility of applying this saturated adaptive control law practically.

Suggested Citation

  • Zhe Dong, 2014. "Saturated Adaptive Output-Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors," Energies, MDPI, vol. 7(11), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7620-7639:d:42524
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/11/7620/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/7/11/7620/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vujić, Jasmina & Bergmann, Ryan M. & Škoda, Radek & Miletić, Marija, 2012. "Small modular reactors: Simpler, safer, cheaper?," Energy, Elsevier, vol. 45(1), pages 288-295.
    2. Zhe Dong, 2014. "An Artificial Neural Network Compensated Output Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors," Energies, MDPI, vol. 7(3), pages 1-22, February.
    3. Zhe Dong, 2012. "Dynamic Output Feedback Power-Level Control for the MHTGR Based On Iterative Damping Assignment," Energies, MDPI, vol. 5(6), pages 1-34, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yao Tong & Duo Zhang & Zhijiang Shao & Xiaojin Huang, 2023. "Global Model Calibration of High-Temperature Gas-Cooled Reactor Pebble-Bed Module Using an Adaptive Experimental Design," Energies, MDPI, vol. 16(12), pages 1-25, June.
    2. Yangbo Zheng & Ni Mo & Zhe Sun & Yan Zhou & Zhengang Shi, 2019. "Study on Unbalanced Magnetic Pulling Analysis and Its Control Method for Primary Helium Circulator of High-Temperature Gas-Cooled Reactor," Energies, MDPI, vol. 12(19), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhe Dong, 2016. "Model-Free Coordinated Control for MHTGR-Based Nuclear Steam Supply Systems," Energies, MDPI, vol. 9(1), pages 1-14, January.
    2. Zhe Dong, 2014. "An Artificial Neural Network Compensated Output Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors," Energies, MDPI, vol. 7(3), pages 1-22, February.
    3. Dong, Zhe & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Multi-layer perception based model predictive control for the thermal power of nuclear superheated-steam supply systems," Energy, Elsevier, vol. 151(C), pages 116-125.
    4. Jānis Krūmiņš & Māris Kļaviņš, 2023. "Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future," Energies, MDPI, vol. 16(9), pages 1-31, April.
    5. Popov, Dimityr & Borissova, Ana, 2017. "Innovative configuration of a hybrid nuclear-solar tower power plant," Energy, Elsevier, vol. 125(C), pages 736-746.
    6. Liben Gao & Yujie Dong & Huiping Guo, 2022. "Selection of Planning Options of Electricity and Freshwater Cogeneration Method Based on High-Temperature Gas-Cooled Reactor," Energies, MDPI, vol. 15(12), pages 1-14, June.
    7. Zhe Dong & Miao Liu & Di Jiang & Xiaojin Huang & Yajun Zhang & Zuoyi Zhang, 2018. "Automatic Generation Control of Nuclear Heating Reactor Power Plants," Energies, MDPI, vol. 11(10), pages 1-18, October.
    8. Yunlong Zhu & Zhe Dong & Xiaojin Huang & Yujie Dong & Yajun Zhang & Zuoyi Zhang, 2022. "Passivity-Based Power-Level Control of Nuclear Reactors," Energies, MDPI, vol. 15(14), pages 1-11, July.
    9. Erwan Hermawan & Usman Sudjadi, 2022. "Integrated Nuclear-Renewable Energy System for Industrialization in West Nusa Tenggara Province, Indonesia: Economic, Potential Site, and Policy Recommendation," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 146-159, July.
    10. Wang, Qiang & Li, Rongrong & He, Gang, 2018. "Research status of nuclear power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 90-96.
    11. Black, Geoffrey A. & Aydogan, Fatih & Koerner, Cassandra L., 2019. "Economic viability of light water small modular nuclear reactors: General methodology and vendor data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 248-258.
    12. Liu, Yanyan & Huang, Guohe & Chen, Jiapei & Zhang, Xiaoyue & Zheng, Xiaogui & Zhai, Mengyu, 2022. "Development of an optimization-aided small modular reactor siting model – A case study of Saskatchewan, Canada," Applied Energy, Elsevier, vol. 305(C).
    13. Carless, Travis S. & Griffin, W. Michael & Fischbeck, Paul S., 2016. "The environmental competitiveness of small modular reactors: A life cycle study," Energy, Elsevier, vol. 114(C), pages 84-99.
    14. Nian, Victor & Mignacca, Benito & Locatelli, Giorgio, 2022. "Policies toward net-zero: Benchmarking the economic competitiveness of nuclear against wind and solar energy," Applied Energy, Elsevier, vol. 320(C).
    15. Carless, Travis S. & Talabi, Sola M. & Fischbeck, Paul S., 2019. "Risk and regulatory considerations for small modular reactor emergency planning zones based on passive decontamination potential," Energy, Elsevier, vol. 167(C), pages 740-756.
    16. Pablo Fernández-Arias & Diego Vergara & Álvaro Antón-Sancho, 2023. "Bibliometric Review and Technical Summary of PWR Small Modular Reactors," Energies, MDPI, vol. 16(13), pages 1-15, July.
    17. Zhen Lei & Chen-Hao Tsai & Andrew N. Kleit, 2017. "Deregulation and Investment in Generation Capacity: Evidence from Nuclear Power Uprates in the United States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    18. Okunlola, Ayodeji & Davis, Matthew & Kumar, Amit, 2023. "Assessing the cost competitiveness of electrolytic hydrogen production from small modular nuclear reactor-based power plants: A price-following perspective," Applied Energy, Elsevier, vol. 346(C).
    19. Alonso, Gustavo & Bilbao, Sama & Valle, Edmundo del, 2016. "Economic competitiveness of small modular reactors versus coal and combined cycle plants," Energy, Elsevier, vol. 116(P1), pages 867-879.
    20. Zhe Dong, 2013. "Nonlinear Power-Level Control of the MHTGR Only with the Feedback Loop of Helium Temperature," Energies, MDPI, vol. 6(2), pages 1-23, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7620-7639:d:42524. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.