IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v302y2024ics0360544224017080.html
   My bibliography  Save this article

Multi-time scale operation optimization of integrated power and thermal system considering load disturbance

Author

Listed:
  • Chen, Qun
  • Meng, Nan
  • He, Ke-Lun
  • Ma, Huan
  • Gou, Xing

Abstract

Energy storage potential of district heating system (DHS) is a promising solution to accommodate surplus wind and solar power. Existing researches often neglect nonlinear heat transport processes and diverse characteristic times in DHS, which makes comprehensive simulation of integrated power and thermal system (IPTS) challenging along with real-time active control. This study proposes a multi-time scale operation optimization method of IPTS considering load disturbance and water flow control. The day-ahead rolling dispatch of IPTS is first conducted by real-time quantifying the state of charge of DHS, and then proposes a multi-time scale adjustment strategy with consideration of water flow control in secondary heating network (SHN). The impact of load disturbance and water flow control on the operation of IPTS is also investigated. Results indicate that wind power can be accommodated up to 94.91 % through fully utilizing the heat storage capacity of DHS. If a consumer is subjected to periodic heat load disturbance, the average deviations of the output powers of combine heat and power, wind power, and thermal power units are reduced to 4.8 %, 0.3 %, and 3.5 %, respectively, after regulating the water flow rate in SHN properly.

Suggested Citation

  • Chen, Qun & Meng, Nan & He, Ke-Lun & Ma, Huan & Gou, Xing, 2024. "Multi-time scale operation optimization of integrated power and thermal system considering load disturbance," Energy, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:energy:v:302:y:2024:i:c:s0360544224017080
    DOI: 10.1016/j.energy.2024.131935
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224017080
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131935?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. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Arraño-Vargas, Felipe & Jiang, Shan & Bennett, Bruce & Konstantinou, Georgios, 2023. "Mitigation of power system oscillations in weak grids with battery energy storage systems: A real-world case study," Energy, Elsevier, vol. 283(C).
    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. Mahon, Harry & O'Connor, Dominic & Friedrich, Daniel & Hughes, Ben, 2022. "A review of thermal energy storage technologies for seasonal loops," Energy, Elsevier, vol. 239(PC).
    5. Wang, L.X. & Zheng, J.H. & Li, M.S. & Lin, X. & Jing, Z.X. & Wu, P.Z. & Wu, Q.H. & Zhou, X.X., 2019. "Multi-time scale dynamic analysis of integrated energy systems: An individual-based model," Applied Energy, Elsevier, vol. 237(C), pages 848-861.
    6. Dokic, Svjetlana B. & Rajakovic, Nikola Lj., 2019. "Security modelling of integrated gas and electrical power systems by analyzing critical situations and potentials for performance optimization," Energy, Elsevier, vol. 184(C), pages 141-150.
    7. Hedegaard, Karsten & Balyk, Olexandr, 2013. "Energy system investment model incorporating heat pumps with thermal storage in buildings and buffer tanks," Energy, Elsevier, vol. 63(C), pages 356-365.
    8. Hu, Yige & Wang, Hang & Chen, Hu & Ding, Yang & Liu, Changtian & Jiang, Feng & Ling, Xiang, 2023. "A novel hydrated salt-based phase change material for medium- and low-thermal energy storage," Energy, Elsevier, vol. 274(C).
    9. Hao, Ling & Wei, Mingshan & Xu, Fei & Yang, Xiaochen & Meng, Jia & Song, Panpan & Min, Yong, 2020. "Study of operation strategies for integrating ice-storage district cooling systems into power dispatch for large-scale hydropower utilization," Applied Energy, Elsevier, vol. 261(C).
    10. Li, Canbing & Chen, Dawei & Liu, Xubin & Shahidehpour, Mohammad & Yang, Hanyu & Liu, Hui & Huang, Wentao & Wang, Jianxiao & Deng, Xiang & Zhang, Qiying, 2024. "Fault mitigation mechanism to pave the way to accommodate over 90% renewable energy in electric power systems," Applied Energy, Elsevier, vol. 359(C).
    11. Kouhia, Mikko & Laukkanen, Timo & Holmberg, Henrik & Ahtila, Pekka, 2019. "District heat network as a short-term energy storage," Energy, Elsevier, vol. 177(C), pages 293-303.
    12. He, Ke-Lun & Zhao, Tian & Ma, Huan & Chen, Qun, 2023. "Optimal operation of integrated power and thermal systems for flexibility improvement based on evaluation and utilization of heat storage in district heating systems," Energy, Elsevier, vol. 274(C).
    13. He, Ke-Lun & Chen, Qun & Ma, Huan & Zhao, Tian & Hao, Jun-Hong, 2020. "An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint," Energy, Elsevier, vol. 211(C).
    14. An, Xugang & He, Qing & Zhang, Qianxu & Liu, Ruonan & Lu, Chang & Du, Dongmei, 2024. "Physical modeling and dynamic characteristics of pumped thermal energy storage system," Energy, Elsevier, vol. 290(C).
    15. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    16. Jiang, X.S. & Jing, Z.X. & Li, Y.Z. & Wu, Q.H. & Tang, W.H., 2014. "Modelling and operation optimization of an integrated energy based direct district water-heating system," Energy, Elsevier, vol. 64(C), pages 375-388.
    17. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
    Full references (including those not matched with items on IDEAS)

    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. He, Ke-Lun & Zhao, Tian & Ma, Huan & Chen, Qun, 2023. "Optimal operation of integrated power and thermal systems for flexibility improvement based on evaluation and utilization of heat storage in district heating systems," Energy, Elsevier, vol. 274(C).
    2. Xu, Rong-Hong & Zhao, Tian & Ma, Huan & He, Ke-Lun & Lv, Hong-Kun & Guo, Xu-Tao & Chen, Qun, 2023. "Operation optimization of distributed energy systems considering nonlinear characteristics of multi-energy transport and conversion processes," Energy, Elsevier, vol. 283(C).
    3. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. 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).
    5. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. 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.
    7. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    8. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    9. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Patrick Sunday Onen & Geev Mokryani & Rana H. A. Zubo, 2022. "Planning of Multi-Vector Energy Systems with High Penetration of Renewable Energy Source: A Comprehensive Review," Energies, MDPI, vol. 15(15), pages 1-25, August.
    11. Heinen, Steve & Burke, Daniel & O'Malley, Mark, 2016. "Electricity, gas, heat integration via residential hybrid heating technologies – An investment model assessment," Energy, Elsevier, vol. 109(C), pages 906-919.
    12. Danko Vidović & Elis Sutlović & Matislav Majstrović, 2021. "A Unique Electrical Model for the Steady-State Analysis of a Multi-Energy System," Energies, MDPI, vol. 14(18), pages 1-23, September.
    13. Chen, Yuwei & Guo, Qinglai & Sun, Hongbin & Li, Zhengshuo & Pan, Zhaoguang & Wu, Wenchuan, 2019. "A water mass method and its application to integrated heat and electricity dispatch considering thermal inertias," Energy, Elsevier, vol. 181(C), pages 840-852.
    14. Suyang Zhou & Di He & Zhiyang Zhang & Zhi Wu & Wei Gu & Junjie Li & Zhe Li & Gaoxiang Wu, 2019. "A Data-Driven Scheduling Approach for Hydrogen Penetrated Energy System Using LSTM Network," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    15. Chen, Dongwen & Hu, Xiao & Li, Yong & Abbas, Zulkarnain & Wang, Ruzhu & Li, Dehong, 2023. "Nodal conservation principle of potential energy flow analysis for energy flow calculation in energy internet," Energy, Elsevier, vol. 263(PA).
    16. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    17. Song, William Hasung & Wang, Yang & Gillich, Aaron & Ford, Andy & Hewitt, Mark, 2019. "Modelling development and analysis on the Balanced Energy Networks (BEN) in London," Applied Energy, Elsevier, vol. 233, pages 114-125.
    18. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).
    19. Chen, Dongwen & Li, Yong & Abbas, Zulkarnain & Li, Dehong & Wang, Ruzhu, 2022. "Network flow calculation based on the directional nodal potential method for meshed heating networks," Energy, Elsevier, vol. 243(C).
    20. Saletti, Costanza & Zimmerman, Nathan & Morini, Mirko & Kyprianidis, Konstantinos & Gambarotta, Agostino, 2021. "Enabling smart control by optimally managing the State of Charge of district heating networks," Applied Energy, Elsevier, vol. 283(C).

    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:302:y:2024:i:c:s0360544224017080. 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.