IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v276y2023ics036054422300988x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422300988X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127594?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tang, Zhenhao & Sui, Mengxuan & Wang, Xu & Xue, Wenyuan & Yang, Yuan & Wang, Zhi & Ouyang, Tinghui, 2024. "Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction," Energy, Elsevier, vol. 299(C).
    2. Yang, Tingting & Liu, Ziyuan & Zeng, Deliang & Zhu, Yansong, 2023. "Simulation and evaluation of flexible enhancement of thermal power unit coupled with flywheel energy storage array," Energy, Elsevier, vol. 281(C).
    3. Zhu, Hengyi & Tan, Peng & He, Ziqian & Ma, Lun & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2023. "Revealing steam temperature characteristics for a double-reheat unit under coal calorific value variation," Energy, Elsevier, vol. 283(C).
    4. Li, Xuehan & Wang, Wei & Ye, Lingling & Ren, Guorui & Fang, Fang & Liu, Jizhen & Chen, Zhe & Zhou, Qiang, 2024. "Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design," Energy, Elsevier, vol. 300(C).
    5. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Huang, Congzhi, 2024. "A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy," Energy, Elsevier, vol. 289(C).
    6. Hao, Junhong & Tian, Liang & Yang, Yunxi & Feng, Xiaolong & Liang, Lu & Hong, Feng & Du, Xiaoze, 2024. "A novel asynchronous time-scale holistic control method for heating system based on the energy state space," Energy, Elsevier, vol. 290(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
    2. Liu, Ming & Wang, Shan & Zhao, Yongliang & Tang, Haiyu & Yan, Junjie, 2019. "Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance," Energy, Elsevier, vol. 188(C).
    3. Hao, Junhong & Tian, Liang & Yang, Yunxi & Feng, Xiaolong & Liang, Lu & Hong, Feng & Du, Xiaoze, 2024. "A novel asynchronous time-scale holistic control method for heating system based on the energy state space," Energy, Elsevier, vol. 290(C).
    4. 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.
    5. Liu, Ming & Ma, Guofeng & Wang, Shan & Wang, Yu & Yan, Junjie, 2021. "Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an energy hub," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Chen, Yongbao & Chen, Zhe & Xu, Peng & Li, Weilin & Sha, Huajing & Yang, Zhiwei & Li, Guowen & Hu, Chonghe, 2019. "Quantification of electricity flexibility in demand response: Office building case study," Energy, Elsevier, vol. 188(C).
    8. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    9. Fu, Xueqian & Guo, Qinglai & Sun, Hongbin & Pan, Zhaoguang & Xiong, Wen & Wang, Li, 2017. "Typical scenario set generation algorithm for an integrated energy system based on the Wasserstein distance metric," Energy, Elsevier, vol. 135(C), pages 153-170.
    10. Guo, Yurun & Wang, Shugang & Wang, Jihong & Zhang, Tengfei & Ma, Zhenjun & Jiang, Shuang, 2024. "Key district heating technologies for building energy flexibility: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    11. Yan Zhang & Quan Lyu & Yang Li & Na Zhang & Lijun Zheng & Haoyan Gong & Hui Sun, 2020. "Research on Down-Regulation Cost of Flexible Combined Heat Power Plants Participating in Real-Time Deep Down-Regulation Market," Energies, MDPI, vol. 13(4), pages 1-17, February.
    12. Obara, Shin'ya & Kikuchi, Yoshinobu & Ishikawa, Kyosuke & Kawai, Masahito & Yoshiaki, Kashiwaya, 2015. "Development of a compound energy system for cold region houses using small-scale natural gas cogeneration and a gas hydrate battery," Energy, Elsevier, vol. 85(C), pages 280-295.
    13. Wang, Weilong & Li, Hailong & Guo, Shaopeng & He, Shiquan & Ding, Jing & Yan, Jinyue & Yang, Jianping, 2015. "Numerical simulation study on discharging process of the direct-contact phase change energy storage system," Applied Energy, Elsevier, vol. 150(C), pages 61-68.
    14. Kravanja, Gregor & Zajc, Gašper & Knez, Željko & Škerget, Mojca & Marčič, Simon & Knez, Maša H., 2018. "Heat transfer performance of CO2, ethane and their azeotropic mixture under supercritical conditions," Energy, Elsevier, vol. 152(C), pages 190-201.
    15. Luca Brunelli & Emiliano Borri & Anna Laura Pisello & Andrea Nicolini & Carles Mateu & Luisa F. Cabeza, 2024. "Thermal Energy Storage in Energy Communities: A Perspective Overview through a Bibliometric Analysis," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    16. Lennart Petersen & Florin Iov & German Claudio Tarnowski & Vahan Gevorgian & Przemyslaw Koralewicz & Daniel-Ioan Stroe, 2019. "Validating Performance Models for Hybrid Power Plant Control Assessment," Energies, MDPI, vol. 12(22), pages 1-26, November.
    17. Ma, Huan & Sun, Qinghan & Chen, Qun & Zhao, Tian & He, Kelun, 2023. "Exergy-based flexibility cost indicator and spatio-temporal coordination principle of distributed multi-energy systems," Energy, Elsevier, vol. 267(C).
    18. Motalleb, Mahdi & Thornton, Matsu & Reihani, Ehsan & Ghorbani, Reza, 2016. "A nascent market for contingency reserve services using demand response," Applied Energy, Elsevier, vol. 179(C), pages 985-995.
    19. Vandermeulen, Annelies & Van Oevelen, Tijs & van der Heijde, Bram & Helsen, Lieve, 2020. "A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks," Energy, Elsevier, vol. 201(C).
    20. Meng Yue & Guoqian Ma & Yuetao Shi, 2020. "Analysis of Gas Recirculation Influencing Factors of a Double Reheat 1000 MW Unit with the Reheat Steam Temperature under Control," Energies, MDPI, vol. 13(16), pages 1-22, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:276:y:2023:i:c:s036054422300988x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.