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Online optimal control schemes of inlet steam temperature during startup of steam turbines considering low cycle fatigue

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  • Zhang, Hengliang
  • Xie, Danmei
  • Yu, Yanzhi
  • Yu, Liangying

Abstract

Great thermal stresses and fatigue damages will be developed during the startup of steam turbines, which will threaten the safety of operation. To save energy and improve the flexibility of the power unit, inlet steam temperature of steam turbines should be controlled online in an optimal way. A new method to obtain online optimal control schemes of the inlet steam temperature considering low cycle fatigue is presented in this paper using the Green's Function Method and the Pontryagin's Maximum Principle. New analytical models of temperature and thermal stresses are proposed. For a hot startup, constant material properties are used and the steam temperature history that can maintain maximum Von Mises stress close to the permitted value is proved to be the optimal control scheme. For a cold or warm startup, the optimization thermal stress considering temperature dependent material properties is found to be determinated by material properties and Green's functions, which may not be equal to the maximum permitted value. Application of the proposed method to the cold start-up process of a 600 MW steam turbine is introduced. Compared with the conventional start-up scheduling, the proposed optimal control scheme can shorten the time of startup greatly without exceeding permitted fatigue damage.

Suggested Citation

  • Zhang, Hengliang & Xie, Danmei & Yu, Yanzhi & Yu, Liangying, 2016. "Online optimal control schemes of inlet steam temperature during startup of steam turbines considering low cycle fatigue," Energy, Elsevier, vol. 117(P1), pages 105-115.
    • Handle: RePEc:eee:energy:v:117:y:2016:i:p1:p:105-115
    DOI: 10.1016/j.energy.2016.10.075
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    References listed on IDEAS

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    Cited by:

    1. Wang, Yingjie & Wang, Mingjun & Jia, Kang & Tian, Wenxi & Qiu, Suizheng & Su, Guanghui, 2022. "Thermal fatigue analysis of structures subjected to liquid metal jets at different temperatures in the Gen-IV nuclear energy system," Energy, Elsevier, vol. 256(C).
    2. Dong-mei, Ji & Jia-qi, Sun & Quan, Sun & Heng-Chao, Guo & Jian-xing, Ren & Quan-jun, Zhu, 2018. "Optimization of start-up scheduling and life assessment for a steam turbine," Energy, Elsevier, vol. 160(C), pages 19-32.
    3. Ji, Dong-Mei & Sun, Jia-Qi & Dui, Yue & Ren, Jian-Xing, 2017. "The optimization of the start-up scheduling for a 320 MW steam turbine," Energy, Elsevier, vol. 125(C), pages 345-355.
    4. Nowak, Grzegorz & Rusin, Andrzej & Łukowicz, Henryk & Tomala, Martyna, 2020. "Improving the power unit operation flexibility by the turbine start-up optimization," Energy, Elsevier, vol. 198(C).
    5. Rusin, Andrzej & Nowak, Grzegorz & Łukowicz, Henryk & Kosman, Wojciech & Chmielniak, Tadeusz & Kaczorowski, Maciej, 2021. "Selecting optimal conditions for the turbine warm and hot start-up," Energy, Elsevier, vol. 214(C).
    6. Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Integrated TEG-TEC and variable coolant flow rate controller for temperature control and energy harvesting," Energy, Elsevier, vol. 159(C), pages 448-456.

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