IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v144y2018icp526-534.html
   My bibliography  Save this article

A dynamic model used for controller design for fast cut back of coal-fired boiler-turbine plant

Author

Listed:
  • Wang, Di
  • Zhou, Yunlong
  • Li, Xiaoli

Abstract

Fast cut back (FCB) technology of thermal power plant can restore electricity supply quickly after electric grid fault is repaired. In order to optimize the control technology for FCB, it is necessary to establish an accurate and simple mathematical model for thermal power plant. In this work, a mathematical model of coal-fired boiler-turbine is built up, basing on the balance laws of mass and energy. The steam turbine bypass system, boiler feedwater system and feedwater heaters playing vital roles during FCB are emphatically considered. Model parameters are estimated by FCB field test under the condition of 100% economize continue rate (ECR) load and validated by FCB field test under the condition of 50% ECR load. The model can be used in the controller design for thermal power plant during FCB. Moreover, FCB simulation test for plant with turbine-driven feedwater pump is carried out, showing that it is likely to cause the drum water level out of safe range during FCB.

Suggested Citation

  • Wang, Di & Zhou, Yunlong & Li, Xiaoli, 2018. "A dynamic model used for controller design for fast cut back of coal-fired boiler-turbine plant," Energy, Elsevier, vol. 144(C), pages 526-534.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:526-534
    DOI: 10.1016/j.energy.2017.12.053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217320868
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.12.053?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. Wang, Wei & Liu, Jizhen & Zeng, Deliang & Niu, Yuguang & Cui, Can, 2015. "An improved coordinated control strategy for boiler-turbine units supplemented by cold source flow adjustment," Energy, Elsevier, vol. 88(C), pages 927-934.
    2. Smrekar, J. & Assadi, M. & Fast, M. & Kuštrin, I. & De, S., 2009. "Development of artificial neural network model for a coal-fired boiler using real plant data," Energy, Elsevier, vol. 34(2), pages 144-152.
    3. Mertens, Nicolas & Alobaid, Falah & Starkloff, Ralf & Epple, Bernd & Kim, Hyun-Gee, 2015. "Comparative investigation of drum-type and once-through heat recovery steam generator during start-up," Applied Energy, Elsevier, vol. 144(C), pages 250-260.
    4. Kaiwen Zeng & Jinyu Wen & Longpeng Ma & Shijie Cheng & En Lu & Ning Wang, 2014. "Fast Cut Back Thermal Power Plant Load Rejection and Black Start Field Test Analysis," Energies, MDPI, vol. 7(5), pages 1-21, April.
    5. Liu, Ji-Zhen & Yan, Shu & Zeng, De-Liang & Hu, Yong & Lv, You, 2015. "A dynamic model used for controller design of a coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 93(P2), pages 2069-2078.
    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. Wang, Di & Liu, Deying & Wang, Chaonan & Zhou, Yunlong & Li, Xiaoli & Yang, Mei, 2022. "Flexibility improvement method of coal-fired thermal power plant based on the multi-scale utilization of steam turbine energy storage," Energy, Elsevier, vol. 239(PD).
    2. Huang, Congzhi & Sheng, Xinxin, 2020. "Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm," Energy, Elsevier, vol. 205(C).
    3. Zima, Wiesław & Grądziel, Sławomir & Cebula, Artur & Rerak, Monika & Kozak-Jagieła, Ewa & Pilarczyk, Marcin, 2023. "Mathematical model of a power boiler operation under rapid thermal load changes," Energy, Elsevier, vol. 263(PC).
    4. 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).
    5. Wang, Di & Zhou, Yu & Si, Long & Sun, Lingfang & Zhou, Yunlong, 2024. "Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis," Energy, Elsevier, vol. 293(C).
    6. Zhou, Jian & Zhang, Lizhong & Zhu, Lei & Zhang, Wei, 2024. "A data-driven operating improvement method for the thermal power unit with frequent load changes," Applied Energy, Elsevier, vol. 354(PB).
    7. Yaokui Gao & Yong Hu & Deliang Zeng & Jizhen Liu & Feng Chen, 2018. "Modeling and Control of a Combined Heat and Power Unit with Two-Stage Bypass," Energies, MDPI, vol. 11(6), pages 1-20, May.

    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. 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.
    2. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    3. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    4. Hübel, Moritz & Meinke, Sebastian & Andrén, Marcus T. & Wedding, Christoffer & Nocke, Jürgen & Gierow, Conrad & Hassel, Egon & Funkquist, Jonas, 2017. "Modelling and simulation of a coal-fired power plant for start-up optimisation," Applied Energy, Elsevier, vol. 208(C), pages 319-331.
    5. Han, Zhonghe & Xiang, Peng, 2020. "Modeling condensate throttling to improve the load change performance of cogeneration units," Energy, Elsevier, vol. 192(C).
    6. Sun, Li & Hua, Qingsong & Shen, Jiong & Xue, Yali & Li, Donghai & Lee, Kwang Y., 2017. "Multi-objective optimization for advanced superheater steam temperature control in a 300MW power plant," Applied Energy, Elsevier, vol. 208(C), pages 592-606.
    7. Fredrik Skaug Fadnes & Reyhaneh Banihabib & Mohsen Assadi, 2023. "Using Artificial Neural Networks to Gather Intelligence on a Fully Operational Heat Pump System in an Existing Building Cluster," Energies, MDPI, vol. 16(9), pages 1-33, May.
    8. Lv, You & Lv, Xuguang & Fang, Fang & Yang, Tingting & Romero, Carlos E., 2020. "Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants," Energy, Elsevier, vol. 192(C).
    9. Wu, Chunying & Sun, Lingfang & Piao, Heng & Yao, Lijia, 2024. "Adaptive fuzzy finite time integral sliding mode control of the coordinated system for 350 MW supercritical once-through boiler unit to enhance flexibility," Energy, Elsevier, vol. 302(C).
    10. Rossi, Francesco & Velázquez, David, 2015. "A methodology for energy savings verification in industry with application for a CHP (combined heat and power) plant," Energy, Elsevier, vol. 89(C), pages 528-544.
    11. Jiabao Gu & Hui Wang & Wuquan Li & Ben Niu, 2022. "Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
    12. Taler, Jan & Zima, Wiesław & Ocłoń, Paweł & Grądziel, Sławomir & Taler, Dawid & Cebula, Artur & Jaremkiewicz, Magdalena & Korzeń, Anna & Cisek, Piotr & Kaczmarski, Karol & Majewski, Karol, 2019. "Mathematical model of a supercritical power boiler for simulating rapid changes in boiler thermal loading," Energy, Elsevier, vol. 175(C), pages 580-592.
    13. Liukkonen, M. & Heikkinen, M. & Hiltunen, T. & Hälikkä, E. & Kuivalainen, R. & Hiltunen, Y., 2011. "Artificial neural networks for analysis of process states in fluidized bed combustion," Energy, Elsevier, vol. 36(1), pages 339-347.
    14. Wang, Di & Zhou, Yu & Si, Long & Sun, Lingfang & Zhou, Yunlong, 2024. "Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis," Energy, Elsevier, vol. 293(C).
    15. Kung, Kevin S. & Thengane, Sonal K. & Ghoniem, Ahmed F. & Lim, C. Jim & Cao, Yankai & Sokhansanj, Shahabaddine, 2022. "Start-up, shutdown, and transition timescale analysis in biomass reactor operations," Energy, Elsevier, vol. 248(C).
    16. Romero-Anton, N. & Martin-Escudero, K. & Portillo-Valdés, L.A. & Gómez-Elvira, I. & Salazar-Herran, E., 2018. "Improvement of auxiliary BI-DRUM boiler operation by dynamic simulation," Energy, Elsevier, vol. 148(C), pages 676-686.
    17. Wei Wang & Yang Sun & Sitong Jing & Wenguang Zhang & Can Cui, 2018. "Improved Boiler-Turbine Coordinated Control of CHP Units with Heat Accumulators by Introducing Heat Source Regulation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    18. Taler, Jan & Taler, Dawid & Kaczmarski, Karol & Dzierwa, Piotr & Trojan, Marcin & Sobota, Tomasz, 2018. "Monitoring of thermal stresses in pressure components based on the wall temperature measurement," Energy, Elsevier, vol. 160(C), pages 500-519.
    19. Li, Huijuan & Li, Wuquan & Gu, Jianzhong, 2022. "Decentralized stabilization of large-scale stochastic nonlinear systems with time-varying powers," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    20. Esmaeili, Mohammad & Moradi, Hamed, 2023. "Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem," Energy, Elsevier, vol. 282(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:energy:v:144:y:2018:i:c:p:526-534. 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.journals.elsevier.com/energy .

    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.