IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v325y2022ics0306261922011758.html
   My bibliography  Save this article

Robust regulation for superheated steam temperature control based on data-driven feedback compensation

Author

Listed:
  • Li, Xiaoming
  • Yu, Xinghuo

Abstract

Control of the superheated steam temperature is a significant technical challenge to coal-fired power plants due to the strong nonlinearity, large inertia and parameter uncertainties with external disturbances. This paper proposes a robust proportion–integration–differentiation (PID) control of the superheated steam temperature with proven stability and the external disturbance rejection. The design is based on the proposed data-driven feedback compensator (DFC) which is a neural network (NN) trained to isolate the nonlinearity and inertia from the PID controller, allowing the system for tuning the PID controller can be simplified as an approximate linear system with the modeling error based-feedback and feed-forward compensations. Then, the PID controller is tuned by the Nyquist stability criterion to place every closed-loop pole to a specific region in the left-half s-plane to guarantee the stability with considering the modeling error. Besides, a NN based feed-forward compensator is trained as the inverse model of the feedback compensator to further smooth the temperature fluctuation caused by the disturbance. The simulations and engineering implementation of the superheated steam temperature controls for a coal-fired power plant in Australia show the effectiveness.

Suggested Citation

  • Li, Xiaoming & Yu, Xinghuo, 2022. "Robust regulation for superheated steam temperature control based on data-driven feedback compensation," Applied Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011758
    DOI: 10.1016/j.apenergy.2022.119918
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922011758
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119918?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mikulandrić, Robert & Lončar, Dražen & Cvetinović, Dejan & Spiridon, Gabriel, 2013. "Improvement of existing coal fired thermal power plants performance by control systems modifications," Energy, Elsevier, vol. 57(C), pages 55-65.
    2. Wang, Chaoyang & Qiao, Yongqiang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2020. "Enhancing peak shaving capability by optimizing reheat-steam temperature control of a double-reheat boiler," Applied Energy, Elsevier, vol. 260(C).
    3. Zhao, Zhigang & Su, Sheng & Si, Ningning & Hu, Song & Wang, Yi & Xu, Jun & Jiang, Long & Chen, Gang & Xiang, Jun, 2017. "Exergy analysis of the turbine system in a 1000 MW double reheat ultra-supercritical power plant," Energy, Elsevier, vol. 119(C), pages 540-548.
    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. Xiaobo Cui & Pan Xu & Guohui Song & Haiming Gu & Hui Gu & Liang Wang & Hongxia Zhu, 2022. "PID Control of a Superheated Steam Temperature System Based on Integral Gain Scheduling," Energies, MDPI, vol. 15(23), pages 1-16, November.

    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. Yu, Jianxi & Liu, Pei & Li, Zheng, 2021. "Data reconciliation of the thermal system of a double reheat power plant for thermal calculation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    2. Opriș, Ioana & Cenușă, Victor-Eduard, 2023. "Parametric and heuristic optimization of multiple schemes with double-reheat ultra-supercritical steam power plants," Energy, Elsevier, vol. 266(C).
    3. Zhang, Shunqi & Liu, Ming & Ma, Yuegeng & Liu, Jiping & Yan, Junjie, 2021. "Flexibility assessment of a modified double-reheat Rankine cycle integrating a regenerative turbine during recuperative heater shutdown processes," Energy, Elsevier, vol. 233(C).
    4. Wang, Zhu & Liu, Ming & Yan, Junjie, 2021. "Flexibility and efficiency co-enhancement of thermal power plant by control strategy improvement considering time varying and detailed boiler heat storage characteristics," Energy, Elsevier, vol. 232(C).
    5. Kravanja, Gregor & Zajc, Gašper & Knez, Željko & Škerget, Mojca & Marčič, Simon & Knez, Maša H., 2018. "Heat transfer performance of CO2, ethane and their azeotropic mixture under supercritical conditions," Energy, Elsevier, vol. 152(C), pages 190-201.
    6. Meng Yue & Guoqian Ma & Yuetao Shi, 2020. "Analysis of Gas Recirculation Influencing Factors of a Double Reheat 1000 MW Unit with the Reheat Steam Temperature under Control," Energies, MDPI, vol. 13(16), pages 1-22, August.
    7. Zhou, Jing & Zhu, Meng & Su, Sheng & Chen, Lei & Xu, Jun & Hu, Song & Wang, Yi & Jiang, Long & Zhong, Wenqi & Xiang, Jun, 2020. "Numerical analysis and modified thermodynamic calculation methods for the furnace in the 1000 MW supercritical CO2 coal-fired boiler," Energy, Elsevier, vol. 212(C).
    8. Waqar Muhammad Ashraf & Ghulam Moeen Uddin & Syed Muhammad Arafat & Sher Afghan & Ahmad Hassan Kamal & Muhammad Asim & Muhammad Haider Khan & Muhammad Waqas Rafique & Uwe Naumann & Sajawal Gul Niazi &, 2020. "Optimization of a 660 MW e Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management Part 1. Thermal Efficiency," Energies, MDPI, vol. 13(21), pages 1-33, October.
    9. Wang, Chaoyang & Chen, Ming & Liu, Ming & Yan, Junjie, 2020. "Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes," Applied Energy, Elsevier, vol. 263(C).
    10. Braimakis, Konstantinos & Magiri-Skouloudi, Despina & Grimekis, Dimitrios & Karellas, Sotirios, 2020. "Εnergy-exergy analysis of ultra-supercritical biomass-fuelled steam power plants for industrial CHP, district heating and cooling," Renewable Energy, Elsevier, vol. 154(C), pages 252-269.
    11. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    12. Chen, Heng & Qi, Zhen & Dai, Lihao & Li, Bin & Xu, Gang & Yang, Yongping, 2020. "Performance evaluation of a new conceptual combustion air preheating system in a 1000 MW coal-fueled power plant," Energy, Elsevier, vol. 193(C).
    13. Zhang, Kezhen & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2020. "Entropy generation versus transition time of heat exchanger during transient processes," Energy, Elsevier, vol. 200(C).
    14. Chen, Zhewen & Wang, Yanjuan & Zhang, Xiaosong & Xu, Jinliang, 2020. "The energy-saving mechanism of coal-fired power plant with S–CO2 cycle compared to steam-Rankine cycle," Energy, Elsevier, vol. 195(C).
    15. Li, Yong & Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Han, Wei, 2018. "Modeling for the performance evaluation of 600 MW supercritical unit operating No.0 high pressure heater," Energy, Elsevier, vol. 149(C), pages 639-661.
    16. Wang, Zhu & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Chong, Daotong & Yan, Junjie, 2020. "Flexibility and efficiency enhancement for double-reheat coal-fired power plants by control optimization considering boiler heat storage," Energy, Elsevier, vol. 201(C).
    17. Yu, Jianxi & Petersen, Nils & Liu, Pei & Li, Zheng & Wirsum, Manfred, 2022. "Hybrid modelling and simulation of thermal systems of in-service power plants for digital twin development," Energy, Elsevier, vol. 260(C).
    18. Fu, Wenfeng & Wang, Lanjing & Yang, Yongping, 2021. "Optimal design for double reheat coal-fired power plants with post-combustion CO2 capture: A novel thermal system integration with a carbon capture turbine," Energy, Elsevier, vol. 221(C).
    19. Neshumayev, Dmitri & Rummel, Leo & Konist, Alar & Ots, Arvo & Parve, Teet, 2018. "Power plant fuel consumption rate during load cycling," Applied Energy, Elsevier, vol. 224(C), pages 124-135.
    20. Ouyang, Tiancheng & Xu, Jisong & Qin, Peijia & Cheng, Liang, 2022. "Utilizing flue gas low-grade waste heat and furnace excess heat to produce syngas and sulfuric acid recovery in coal-fired power plant," Energy, Elsevier, vol. 258(C).

    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:eee:appene:v:325:y:2022:i:c:s0306261922011758. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.