IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v304y2024ics0360544224018760.html

Balancing Possibilist-probabilistic risk assessment for smart energy hubs: Enabling secure peer-to-peer energy sharing with CCUS technology and cyber-security

Author

Listed:
  • Zheng, Yangbing
  • Xue, Xiao
  • Xi, Sun
  • Xin, Wang

Abstract

This paper introduces the Possibilistic-Probabilistic Risk-based Smart Energy Hub (PPR-SEH) scheduling model, addressing cybersecurity challenges in the transition to advanced energy systems characterized by decarbonization, decentralization, and digitalization. The model integrates cutting-edge technologies like Carbon Capture Utilization and Storage (CCUS) and demand response programs. It addresses uncertainties from renewable energy sources, demand variability, fuel supply, and energy price fluctuations using a Z-number-based approach. Covering various energy types—electricity, heat, cooling, gas, and water—the PPR-SEH model offers a comprehensive energy management solution. Employing a mixed-integer linear programming (MILP) framework optimized with the CPLEX solver in GAMS software, it uses an epsilon constraint method and a fuzzy satisfying approach for solution selection. The model also evaluates the economic and environmental impacts of peer-to-peer energy-sharing markets linked with carbon emission trading, enhancing the efficiency and sustainability of energy distribution. The findings reveal that incorporating robust cybersecurity measures and integrating demand response and CCUS significantly influence operational efficiency and sustainability, evidenced by an increase in costs and pollution by approximately 11.43 % and 1.8 %, respectively, compared to deterministic approaches. This study underscores the importance of robust planning and the beneficial impact of a carbon system on load curve management and economic returns in smart energy systems.

Suggested Citation

  • Zheng, Yangbing & Xue, Xiao & Xi, Sun & Xin, Wang, 2024. "Balancing Possibilist-probabilistic risk assessment for smart energy hubs: Enabling secure peer-to-peer energy sharing with CCUS technology and cyber-security," Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s0360544224018760
    DOI: 10.1016/j.energy.2024.132102
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224018760
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132102?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. Abdulnasser, Ghada & Ali, Abdelfatah & Shaaban, Mostafa F. & Mohamed, Essam E.M., 2024. "Optimal resource allocation and operation for smart energy hubs considering hydrogen storage systems and electric vehicles," Energy, Elsevier, vol. 295(C).
    2. Esmaeil Valipour & Ramin Nourollahi & Kamran Taghizad-Tavana & Sayyad Nojavan & As’ad Alizadeh, 2022. "Risk Assessment of Industrial Energy Hubs and Peer-to-Peer Heat and Power Transaction in the Presence of Electric Vehicles," Energies, MDPI, vol. 15(23), pages 1-24, November.
    3. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    4. Zhang, Ruixiaoxiao & Lee, Minhyun & Huang, Lijie, 2023. "Grid parity analysis of photovoltaic systems considering feed-in tariff and renewable energy certificate schemes in Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 181(C).
    5. Lu, Xinhui & Li, Haobin & Zhou, Kaile & Yang, Shanlin, 2023. "Optimal load dispatch of energy hub considering uncertainties of renewable energy and demand response," Energy, Elsevier, vol. 262(PB).
    6. Yang, Chengying & Wu, Zhixin & Li, Xuetao & Fars, Ashk, 2024. "Risk-constrained stochastic scheduling for energy hub: Integrating renewables, demand response, and electric vehicles," Energy, Elsevier, vol. 288(C).
    7. Bashiri Khouzestani, Leyla & Sheikh-El-Eslami, Mohammad Kazem & Salemi, Amir Hosein & Gerami Moghaddam, Iman, 2023. "Virtual smart energy Hub: A powerful tool for integrated multi energy systems operation," Energy, Elsevier, vol. 265(C).
    8. Fan, Linyuan & Ji, Dandan & Lin, Geng & Lin, Peng & Liu, Lixi, 2023. "Information gap-based multi-objective optimization of a virtual energy hub plant considering a developed demand response model," Energy, Elsevier, vol. 276(C).
    9. Roustaei, M. & Niknam, T. & Salari, S. & Chabok, H. & Sheikh, M. & Kavousi-Fard, A. & Aghaei, J., 2020. "A scenario-based approach for the design of Smart Energy and Water Hub," Energy, Elsevier, vol. 195(C).
    10. Yan, Laiqing & Deng, Xiwei & Li, Ji, 2024. "Integrated energy hub optimization in microgrids: Uncertainty-aware modeling and efficient operation," Energy, Elsevier, vol. 291(C).
    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. Tabassum, Fariya & Azim, M.Imran & Islam, Md.Rashidul & Rahman, M.A. & Ali, Liaqat & Rahman, Md.Mahfuzur & Hossain, M.J., 2025. "Energy data security and pricing model in local energy markets using artificial intelligence," Applied Energy, Elsevier, vol. 401(PB).
    2. Hu, Yuhan & Jin, Yang, 2025. "Energy hubs integrating renewable energy sources and demand response programs for cost-effective operations," Energy, Elsevier, vol. 333(C).
    3. Satpathy, Priya Ranjan & Ramachandaramurthy, Vigna Kumaran, 2026. "Artificial intelligence and machine learning for distributed energy resource management systems: Applications, frameworks, and future directions," Applied Energy, Elsevier, vol. 403(PB).
    4. Zhenyu Li & Pan Du & Tiezhi Li, 2025. "Comprehensive Risk Assessment of Smart Energy Information Security: An Enhanced MCDM-Based Approach," Sustainability, MDPI, vol. 17(8), pages 1-22, April.

    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. Mokaramian, E. & Shayeghi, H. & Younesi, A. & Shafie-khah, M. & Siano, P., 2025. "Energy hubs components and operation: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    2. Liu, Shihai & Yang, Ruofei & Liu, Ying, 2026. "New distributionally robust optimization framework and algorithm for energy hub scheduling integrating demand response programs under ambiguous prices and loads," Applied Energy, Elsevier, vol. 405(C).
    3. Tao, Jiaxin & Duan, Jiandong & Tuo, Lihao & Gao, Qi & Tian, Qinxing & Lu, Wenchao, 2025. "Exergy efficiency based multi-objective configuration optimization of energy hubs in the multi-energy distribution system," Energy, Elsevier, vol. 329(C).
    4. Chen, Minghao & Sun, Yi & Xie, Zhiyuan & Lin, Nvgui & Wu, Peng, 2023. "An efficient and privacy-preserving algorithm for multiple energy hubs scheduling with federated and matching deep reinforcement learning," Energy, Elsevier, vol. 284(C).
    5. Pezhmani, Yasin & Rezaei, Navid, 2025. "Risk-averse energy management of a water-heat-power virtual energy hub considering hosting capacity and Volt-VAR control of distribution network," Energy, Elsevier, vol. 318(C).
    6. Wang, Jian & Ilea, Valentin & Bovo, Cristian & Xie, Ning & Wang, Yong, 2023. "Optimal self-scheduling for a multi-energy virtual power plant providing energy and reserve services under a holistic market framework," Energy, Elsevier, vol. 278(PB).
    7. Kiani-Moghaddam, Mohammad & Soltani, Mohsen N. & Kalogirou, Soteris A. & Mahian, Omid & Arabkoohsar, Ahmad, 2023. "A review of neighborhood level multi-carrier energy hubs—uncertainty and problem-solving process," Energy, Elsevier, vol. 281(C).
    8. Yousefi Khasraghi, Hesameddin & Alsenani, Theyab R., 2025. "Robust energy and carbon trading model for interconnected energy hub centers in active distribution networks," Energy, Elsevier, vol. 321(C).
    9. Liao, Zitian & Liao, Xiaoqun & Khakichi, Aroos, 2024. "Optimum planning of energy hub with participation in electricity market and heat markets and application of integrated load response program with improved particle swarm algorithm," Energy, Elsevier, vol. 286(C).
    10. Kiani-Moghaddam, Mohammad & Soltani, Mohsen N. & Kalogirou, Soteris A. & Arabkoohsar, Ahmad, 2025. "A review of optimization efforts on neighborhood-level energy hubs," Energy, Elsevier, vol. 317(C).
    11. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
    12. Liu, Xin & Li, Yang & Wang, Li & Tang, Junbo & Qiu, Haifeng & Berizzi, Alberto & Valentin, Ilea & Gao, Ciwei, 2024. "Dynamic aggregation strategy for a virtual power plant to improve flexible regulation ability," Energy, Elsevier, vol. 297(C).
    13. Zhao, Kaifang & Qiu, Kai & Yan, Jian & Shaker, Mir Pasha, 2023. "Technical and economic operation of VPPs based on competitive bi–level negotiations," Energy, Elsevier, vol. 282(C).
    14. Ghappani, Seyyed Aliasghar & Khanahmadi, Abbas & Ghaffarpour, Reza, 2025. "Consensus-based optimal operation of multi-agent renewable energy hubs considering various graph topologies," Renewable Energy, Elsevier, vol. 251(C).
    15. Zhang, Ruixiaoxiao & Huang, Lijie & Lee, Minhyun & Mei, Shiqi, 2025. "Multi-objective optimization for customized solar business models considering technical-economic-environmental performance: A NSGA-II integrated TOPSIS method," Energy Policy, Elsevier, vol. 206(C).
    16. Chankook Park & Wan Gyu Heo & Myung Eun Lee, 2024. "Study on Consumers’ Perceived Benefits and Risks of Smart Energy System," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 288-300, May.
    17. Dhafer M. Dahis & Seyed Saeedallah Mortazavi & Mahmood Joorabian & Alireza Saffarian, 2025. "Bi-Level Resilience-Oriented Sitting and Sizing of Energy Hubs in Electrical, Thermal and Gas Networks Considering Energy Management System," Energies, MDPI, vol. 18(10), pages 1-26, May.
    18. Wang, Chizhong & Chen, Heng & Wang, Zhengwei & Gao, Yue & Zhang, Guoqiang, 2025. "Economic assessment and grid parity analysis of photovoltaic power generation considering tradable green certificate," Applied Energy, Elsevier, vol. 382(C).
    19. Bin Li & Haoran Li & Zhencheng Liang & Xiaoqing Bai, 2024. "Load Day-Ahead Automatic Generation Control Reserve Capacity Demand Prediction Based on the Attention-BiLSTM Network Model Optimized by Improved Whale Algorithm," Energies, MDPI, vol. 17(2), pages 1-25, January.
    20. Sun, Mingyi & Zhao, Xia & Tan, Hong & Li, Xinyi, 2022. "Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations," Energy, Elsevier, vol. 238(PC).

    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:energy:v:304:y:2024:i:c:s0360544224018760. 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.