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

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  • 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
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    References listed on IDEAS

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    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.
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    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.

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