IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v396y2025ics0306261925010025.html

Market-government dual-driven framework for reliability-centric planning of a computation-energy integrated system with data centers

Author

Listed:
  • Liang, Chen
  • Zeng, Bo
  • Lei, Yueyi
  • Wang, Yuan

Abstract

The rapid development of Computation-Energy Integrated Systems (CEIS) has highlighted the urgent need to improve system reliability, particularly as these centers integrate with power grids (PGs) and heating networks (HNs). Achieving high reliability, however, cannot be fully realized through market efforts alone to align all stakeholders. This paper proposes a novel market-government dual-driven framework for the coordinated planning of data centers (DCs), PGs, and HNs, ensuring the high-reliability transition of CEIS. The framework is based on a three-level hierarchical optimization model that integrates market signals and government incentives to encourage decentralized, reliable decision-making. The upper level makes investment decisions for DCs, PGs, and HNs based on profit maximization. The middle level employs market mechanisms to enhance the reliability of scheduling, while the lower level addresses fault scenarios, integrating energy and information domain failures and combining government-driven incentives to improve reliability. By incorporating flexibility from the information domain, particularly from DCs, the framework significantly enhances energy system stability, offering considerable benefits under fault conditions. Moreover, the combination of market signals and government incentives provides a robust solution to the reliability challenges faced by highly integrated urban CEIS. Numerical studies demonstrate that this dual-driven framework outperforms traditional centralized models in reducing load curtailment and improving system resilience, achieving a fault-induced load curtailment rate of 93.89 % and a self-sufficiency rate of 82.34 %.

Suggested Citation

  • Liang, Chen & Zeng, Bo & Lei, Yueyi & Wang, Yuan, 2025. "Market-government dual-driven framework for reliability-centric planning of a computation-energy integrated system with data centers," Applied Energy, Elsevier, vol. 396(C).
    • Handle: RePEc:eee:appene:v:396:y:2025:i:c:s0306261925010025
    DOI: 10.1016/j.apenergy.2025.126272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925010025
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.126272?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Cao, Jiaxin & Yang, Bo & Zhu, Shanying & Chung, Chi Yung & Guan, Xinping, 2022. "Multi-level coordinated energy management for energy hub in hybrid markets with distributionally robust scheduling," Applied Energy, Elsevier, vol. 311(C).
    2. Billimoria, Farhad & Fele, Filiberto & Savelli, Iacopo & Morstyn, Thomas & McCulloch, Malcolm, 2022. "An insurance mechanism for electricity reliability differentiation under deep decarbonization," Applied Energy, Elsevier, vol. 321(C).
    3. Schroeder, Andreas, 2011. "Modeling storage and demand management in power distribution grids," Applied Energy, Elsevier, vol. 88(12), pages 4700-4712.
    4. Feng, Jian & Yao, Yifan & Liu, Zhenfeng & Liu, Zhenling, 2024. "Electric vehicle charging stations' installing strategies: Considering government subsidies," Applied Energy, Elsevier, vol. 370(C).
    5. Chen, Lin & Wang, Jianxiao & Wu, Zhaoyuan & Li, Gengyin & Zhou, Ming & Li, Peng & Zhang, Yihan, 2021. "Communication reliability-restricted energy sharing strategy in active distribution networks," Applied Energy, Elsevier, vol. 282(PB).
    6. Zeng, Bo & Luo, Yangfan, 2022. "Potential of harnessing operational flexibility from public transport hubs to improve reliability and economic performance of urban multi-energy systems: A holistic assessment framework," Applied Energy, Elsevier, vol. 322(C).
    7. Fu, Yang & Shan, Jie & Li, Zhenkun & Xie, BoLin & Pan, Jeng-Shyang, 2025. "The optimal bidding strategy for multi-energy prosumers in the double auction electricity-heat market: A bidding space model," Energy, Elsevier, vol. 314(C).
    8. Li, Shuangqi & Gu, Chenghong & Zeng, Xianwu & Zhao, Pengfei & Pei, Xiaoze & Cheng, Shuang, 2021. "Vehicle-to-grid management for multi-time scale grid power balancing," Energy, Elsevier, vol. 234(C).
    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. Haddadian, Hossein & Noroozian, Reza, 2017. "Optimal operation of active distribution systems based on microgrid structure," Renewable Energy, Elsevier, vol. 104(C), pages 197-210.
    2. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    3. Keppler, Jan Horst & Quemin, Simon & Saguan, Marcelo, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Energy Policy, Elsevier, vol. 171(C).
    4. Hartmann, Bálint & Divényi, Dániel & Vokony, István, 2018. "Evaluation of business possibilities of energy storage at commercial and industrial consumers – A case study," Applied Energy, Elsevier, vol. 222(C), pages 59-66.
    5. Hanif, Sarmad & Alam, M.J.E. & Roshan, Kini & Bhatti, Bilal A. & Bedoya, Juan C., 2022. "Multi-service battery energy storage system optimization and control," Applied Energy, Elsevier, vol. 311(C).
    6. Shi, Qingxin & Li, Fangxing & Dong, Jin & Olama, Mohammed & Wang, Xiaofei & Winstead, Chris & Kuruganti, Teja, 2022. "Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience," Applied Energy, Elsevier, vol. 318(C).
    7. Zhang, Tairan & Sobhani, Behrouz, 2023. "Optimal economic programming of an energy hub in the power system while taking into account the uncertainty of renewable resources, risk-taking and electric vehicles using a developed routing method," Energy, Elsevier, vol. 271(C).
    8. Allard, Stéphane & Debusschere, Vincent & Mima, Silvana & Quoc, Tuan Tran & Hadjsaid, Nouredine & Criqui, Patrick, 2020. "Considering distribution grids and local flexibilities in the prospective development of the European power system by 2050," Applied Energy, Elsevier, vol. 270(C).
    9. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)," Energy, Elsevier, vol. 55(C), pages 1044-1054.
    10. Cui, Jingshi & Cao, Yi & Wang, Bo & Wu, Jiaman, 2025. "Multi-stage adaptive expansion of EV charging stations considering impacts from the transportation network and power grid," Applied Energy, Elsevier, vol. 386(C).
    11. Poudineh, Rahmatallah & Jamasb, Tooraj, 2014. "Distributed generation, storage, demand response and energy efficiency as alternatives to grid capacity enhancement," Energy Policy, Elsevier, vol. 67(C), pages 222-231.
    12. Savelli, Iacopo & Hepburn, Cameron & Morstyn, Thomas, 2024. "A blueprint for energy systems in the era of central bank digital currencies," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    13. Shu, Han & Mays, Jacob, 2023. "Beyond capacity: Contractual form in electricity reliability obligations," Energy Economics, Elsevier, vol. 126(C).
    14. Javazi, Leila & Alinaghian, Mahdi & Khosroshahi, Hossein, 2025. "Evaluating government policies promoting electric vehicles, considering battery technology, energy saving, and charging infrastructure development: A game theoretic approach," Applied Energy, Elsevier, vol. 390(C).
    15. Zeng, Bo & Zhang, Weixiang & Hu, Pinduan & Sun, Jing & Gong, Dunwei, 2023. "Synergetic renewable generation allocation and 5G base station placement for decarbonizing development of power distribution system: A multi-objective interval evolutionary optimization approach," Applied Energy, Elsevier, vol. 351(C).
    16. Rajeev, T. & Ashok, S., 2015. "Dynamic load-shifting program based on a cloud computing framework to support the integration of renewable energy sources," Applied Energy, Elsevier, vol. 146(C), pages 141-149.
    17. Fang, Xinli & Yang, Qiang & Wang, Jianhui & Yan, Wenjun, 2016. "Coordinated dispatch in multiple cooperative autonomous islanded microgrids," Applied Energy, Elsevier, vol. 162(C), pages 40-48.
    18. Ma, Miaomiao & Long, Zijuan & Liu, Xiangjie & Lee, Kwang Y., 2025. "Distributionally robust optimization of electric–thermal–hydrogen integrated energy system considering source–load uncertainty," Energy, Elsevier, vol. 316(C).
    19. Valeria Di Cosmo & Sean Collins & Paul Deane, "undated". "The Effect of Increased Transmission and Storage in an Interconnected Europe: an Application to France and Ireland," ESP: Energy Scenarios and Policy 263159, Fondazione Eni Enrico Mattei (FEEM).
    20. Pei, Pucheng & Wang, Keliang & Ma, Ze, 2014. "Technologies for extending zinc–air battery’s cyclelife: A review," Applied Energy, Elsevier, vol. 128(C), pages 315-324.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:appene:v:396:y:2025:i:c:s0306261925010025. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.