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A new energy state-based modeling and performance assessment method for primary frequency control of thermal power plants

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  • Hong, Feng
  • Ji, Weiming
  • Pang, Yalei
  • Hao, Junhong
  • Du, Ming
  • Fang, Fang
  • Liu, Jizhen

Abstract

Primary frequency control (PFC) has become increasingly important for the stable operation of power systems due to the development of renewable energy resources, and the thermal power units still need to provide satisfactory PFC services. The energy stored in metal and working fluid are the main impact factors for PFC. This paper proposed a universal assessment mechanism to evaluate PFC capability for thermal power plants under various working conditions by decomposing and quantifying the energy state, especially under flexible operating processes. A transient heat current model describes the dynamic process by constructing the relation of different parameters in overheated components at various energy states. In this study, the PFC dynamic response ability of a 600 MW supercritical power plant under various working conditions is quantified based on the proposed modeling. The maximum load regulation amount decreases from 6.0% to 1.69% with a decrease in the load. Compared to the theoretical calculation results with the experimental data of actual PFC tests, the proposed mechanism of the dynamic response of PFC assessment is more precise, with an accuracy of 97.85%, which has a significant meaning in guiding the PFC services in the power grid and regulating the power plants.

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  • Hong, Feng & Ji, Weiming & Pang, Yalei & Hao, Junhong & Du, Ming & Fang, Fang & Liu, Jizhen, 2023. "A new energy state-based modeling and performance assessment method for primary frequency control of thermal power plants," Energy, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s036054422300988x
    DOI: 10.1016/j.energy.2023.127594
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    References listed on IDEAS

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    1. Oree, Vishwamitra & Sayed Hassen, Sayed Z., 2016. "A composite metric for assessing flexibility available in conventional generators of power systems," Applied Energy, Elsevier, vol. 177(C), pages 683-691.
    2. Fang, Fang & Wei, Le, 2011. "Backstepping-based nonlinear adaptive control for coal-fired utility boiler-turbine units," Applied Energy, Elsevier, vol. 88(3), pages 814-824, March.
    3. Gou, Xing & Chen, Qun & He, Ke-Lun, 2022. "Real-time quantification for dynamic heat storage characteristic of district heating system and its application in dispatch of integrated energy system," Energy, Elsevier, vol. 259(C).
    4. Dai, Yuanhang & Hao, Junhong & Wang, Xingce & Chen, Lei & Chen, Qun & Du, Xiaoze, 2022. "A comprehensive model and its optimal dispatch of an integrated electrical-thermal system with multiple heat sources," Energy, Elsevier, vol. 261(PA).
    5. Ming, Zeng & Ximei, Liu & Lilin, Peng, 2014. "The ancillary services in China: An overview and key issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 83-90.
    6. 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.
    7. Zhao, Zhigang & Su, Sheng & Si, Ningning & Hu, Song & Wang, Yi & Xu, Jun & Jiang, Long & Chen, Gang & Xiang, Jun, 2017. "Exergy analysis of the turbine system in a 1000 MW double reheat ultra-supercritical power plant," Energy, Elsevier, vol. 119(C), pages 540-548.
    8. Nuytten, Thomas & Claessens, Bert & Paredis, Kristof & Van Bael, Johan & Six, Daan, 2013. "Flexibility of a combined heat and power system with thermal energy storage for district heating," Applied Energy, Elsevier, vol. 104(C), pages 583-591.
    9. Zhang, Youjun & Xiong, Nian & Ge, Zhihua & Zhang, Yichen & Hao, Junhong & Yang, Zhiping, 2020. "A novel cascade heating system for waste heat recovery in the combined heat and power plant integrating with the steam jet pump," Applied Energy, Elsevier, vol. 278(C).
    10. Daniel Vázquez Pombo & Florin Iov & Daniel-Ioan Stroe, 2019. "A Novel Control Architecture for Hybrid Power Plants to Provide Coordinated Frequency Reserves," Energies, MDPI, vol. 12(5), pages 1-17, March.
    Full references (including those not matched with items on IDEAS)

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