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A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit

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  • Fan, He
  • Zhang, Yu-fei
  • Su, Zhi-gang
  • Wang, Ben

Abstract

It is challenging and interesting to establish a precise dynamic model of an OTB (once-through boiler) power plant unit in order to meet large scale load demands from the power grid. This study proposes to establish such a dynamic mathematical model of an ultra-supercritical OTB unit under dry operating conditions. More precisely, the dynamic model structure was derived from mass and energy conservation laws as well as thermodynamic principles under some reasonable simplifications and assumptions. Then an IGA (immune genetic algorithm) was improved to identify the parameters, combined with running data. After this, to further enhance model performance, the dynamic mathematical model was extended to be the one with different sets of parameters and functions under different monotonous load ranges. Additionally, open- and closed-loop experiments were conducted in order to further validate the developed model. The experimental results show that the model outputs can approach the actual running data over a wide operating range with appropriate accuracy. More importantly, the dynamic model captures the essential dynamic characteristics of the unit. Therefore, the model can be feasible and applicable for simulation analysis and testing control algorithms.

Suggested Citation

  • Fan, He & Zhang, Yu-fei & Su, Zhi-gang & Wang, Ben, 2017. "A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit," Applied Energy, Elsevier, vol. 189(C), pages 654-666.
    • Handle: RePEc:eee:appene:v:189:y:2017:i:c:p:654-666
    DOI: 10.1016/j.apenergy.2016.11.074
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    Cited by:

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    3. 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).
    4. Zhu, Hengyi & Tan, Peng & He, Ziqian & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2022. "Nonlinear model predictive control of USC boiler-turbine power units in flexible operations via input convex neural network," Energy, Elsevier, vol. 255(C).
    5. Hao Zhang & Xiangjie Liu & Xiaobing Kong & Kwang Y. Lee, 2019. "Stacked Auto-Encoder Modeling of an Ultra-Supercritical Boiler-Turbine System," Energies, MDPI, vol. 12(21), pages 1-14, October.
    6. Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Li, Bo & Li, Yong, 2019. "Model establishment and performance evaluation of a modified regenerative system for a 660 MW supercritical unit running at the IPT-setting mode," Energy, Elsevier, vol. 179(C), pages 890-915.
    7. Liu, Kairui & Wang, Chao & Wang, Limin & Liu, Bin & Ye, Maojing & Guo, Yalong & Che, Defu, 2023. "Dynamic performance analysis and control strategy optimization for supercritical coal-fired boiler: A dynamic simulation," Energy, Elsevier, vol. 282(C).
    8. Ioannis Avagianos & Dimitrios Rakopoulos & Sotirios Karellas & Emmanouil Kakaras, 2020. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation," Energies, MDPI, vol. 13(24), pages 1-41, December.
    9. 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).
    10. Jiakui Shi & Shuangshuang Fan & Jiajia Li & Jiangnan Cheng & Jie Wan & Peng E, 2023. "An Optimization Method of Steam Turbine Load Resilient Adjustment by Characterizing Dynamic Changes in Superheated Steam Energy," Energies, MDPI, vol. 16(8), pages 1-15, April.
    11. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.
    12. Dong, Zhe & Pan, Yifei, 2018. "A lumped-parameter dynamical model of a nuclear heating reactor cogeneration plant," Energy, Elsevier, vol. 145(C), pages 638-656.
    13. Al-Momani, Ahmad & Mohamed, Omar & Abu Elhaija, Wejdan, 2022. "Multiple processes modeling and identification for a cleaner supercritical power plant via Grey Wolf Optimizer," Energy, Elsevier, vol. 252(C).
    14. Omar Mohamed & Ashraf Khalil & Jihong Wang, 2020. "Modeling and Control of Supercritical and Ultra-Supercritical Power Plants: A Review," Energies, MDPI, vol. 13(11), pages 1-23, June.
    15. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600," Energy, Elsevier, vol. 155(C), pages 971-991.
    16. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    17. 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).
    18. Chen Yang & Tao Zhang & Zonglong Zhang & Li Sun, 2022. "MLD–MPC for Ultra-Supercritical Circulating Fluidized Bed Boiler Unit Using Subspace Identification," Energies, MDPI, vol. 15(15), pages 1-26, July.
    19. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    20. Huang, Congzhi & Li, Zhuoyong, 2023. "Data-driven modeling of ultra-supercritical unit coordinated control system by improved transformer network," Energy, Elsevier, vol. 266(C).

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