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An experiment-based model of condensate throttling and its utilization in load control of 1000 MW power units

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  • Long, Dongteng
  • Wang, Wei
  • Yao, Chu
  • Liu, Jizhen

Abstract

Coal-fired power units are important to stabilize the grid fluctuation especially for the electrical power system with a large proportion of renewable sources. The unit load change speed and range controlled by traditional coordinate control system has become more and more insatiable for the integrations of fluctuant power sources. Condensate throttling is an efficient way to utilize storage energy of units, the mechanism analysis of regulating range and regulation maximum period in wide range of operating condition is proposed, and dynamic model in varying operation conditions is established through lots of trial experiments in a 1000 MW coal-fired power plant, the parameters of model are also discussed in different operating situations. A novel coordinate control system combining traditional coordinate control and condensate throttling system is proposed and the control performance in different regulating rates is investigated, the results and load distribution analysis proved that novel strategy achieve a superior fast response ability and static accuracy.

Suggested Citation

  • Long, Dongteng & Wang, Wei & Yao, Chu & Liu, Jizhen, 2017. "An experiment-based model of condensate throttling and its utilization in load control of 1000 MW power units," Energy, Elsevier, vol. 133(C), pages 941-954.
    • Handle: RePEc:eee:energy:v:133:y:2017:i:c:p:941-954
    DOI: 10.1016/j.energy.2017.05.179
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    Citations

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    Cited by:

    1. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. 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).
    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. 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.
    5. Yang, Chao & Zhu, Yucai & Zhou, Jinming & Zhao, Jun & Bu, Ren & Feng, Guo, 2023. "Dynamic flexibility optimization of integrated energy system based on two-timescale model predictive control," Energy, Elsevier, vol. 276(C).
    6. Han, Zhonghe & Xiang, Peng, 2020. "Modeling condensate throttling to improve the load change performance of cogeneration units," Energy, Elsevier, vol. 192(C).
    7. Liu, Zefeng & Wang, Chaoyang & Fan, Jianlin & Liu, Ming & Xing, Yong & Yan, Junjie, 2024. "Enhancing the flexibility and stability of coal-fired power plants by optimizing control schemes of throttling high-pressure extraction steam," Energy, Elsevier, vol. 288(C).
    8. Cao, Lihua & Li, Xiaoli & Wang, Di, 2022. "A thermodynamic system of coal-fired power unit coupled S–CO2 energy-storage cycle," Energy, Elsevier, vol. 259(C).
    9. Wang, Zhu & Liu, Ming & Yan, Hui & Yan, Junjie, 2022. "Optimization on coordinate control strategy assisted by high-pressure extraction steam throttling to achieve flexible and efficient operation of thermal power plants," Energy, Elsevier, vol. 244(PA).
    10. Stevanovic, Vladimir D. & Ilic, Milica & Djurovic, Zeljko & Wala, Tadeusz & Muszynski, Slawomir & Gajic, Ivan, 2018. "Primary control reserve of electric power by feedwater flow rate change through an additional economizer – A case study of the thermal power plant “Nikola Tesla B”," Energy, Elsevier, vol. 147(C), pages 782-798.
    11. 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).
    12. Yuan, Rongsheng & Liu, Ming & Chen, Weixiong & Yan, Junjie, 2024. "Costs versus revenues of flexibility enhancement techniques for thermal power units in electricity-carbon joint markets," Energy, Elsevier, vol. 302(C).
    13. 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.
    14. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    15. Wang, Wei & Jing, Sitong & Sun, Yang & Liu, Jizhen & Niu, Yuguang & Zeng, Deliang & Cui, Can, 2019. "Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation," Energy, Elsevier, vol. 169(C), pages 988-999.
    16. 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).

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