IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i2p323-d1565860.html
   My bibliography  Save this article

A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading

Author

Listed:
  • Yun Chen

    (State Grid Qinghai Electric Power Company, Xining 810016, China)

  • Yunhao Zhao

    (National Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, China)

  • Xinghao Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Ying Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Rongyao Mi

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Junxiao Song

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Zhiguo Hao

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Chuanbo Xu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

This study addresses the optimization of urban integrated energy systems (UIESs) under uncertainty in peer-to-peer (P2P) electricity trading by introducing a two-stage robust optimization strategy. The strategy includes a UIES model with a photovoltaic (PV)–green roof, hydrogen storage, and cascading cold/heat energy subsystems. The first stage optimizes energy trading volume to maximize social welfare, while the second stage maximizes operational profit, considering uncertainties in PV generation and power prices. The Nested Column and Constraint Generation (NC&CG) algorithm enhances privacy and solution precision. Case studies with three UIESs show that the model improves economic performance, energy efficiency, and sustainability, increasing profits by 1.5% over non-P2P scenarios. Adjusting the robustness and deviation factors significantly impacts P2P transaction volumes and profits, allowing system operators to optimize profits and make risk-aligned decisions.

Suggested Citation

  • Yun Chen & Yunhao Zhao & Xinghao Zhang & Ying Wang & Rongyao Mi & Junxiao Song & Zhiguo Hao & Chuanbo Xu, 2025. "A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading," Energies, MDPI, vol. 18(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:323-:d:1565860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/2/323/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/2/323/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van Beuzekom, Iris & Hodge, Bri-Mathias & Slootweg, Han, 2021. "Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems," Applied Energy, Elsevier, vol. 292(C).
    2. Li, Ke & Mu, Yuchen & Yang, Fan & Wang, Haiyang & Yan, Yi & Zhang, Chenghui, 2023. "A novel short-term multi-energy load forecasting method for integrated energy system based on feature separation-fusion technology and improved CNN," Applied Energy, Elsevier, vol. 351(C).
    3. He, Tianbiao & Lv, Hongyu & Shao, Zixian & Zhang, Jibao & Xing, Xialian & Ma, Huigang, 2020. "Cascade utilization of LNG cold energy by integrating cryogenic energy storage, organic Rankine cycle and direct cooling," Applied Energy, Elsevier, vol. 277(C).
    4. Wu, Min & Xu, Jiazhu & Zeng, Linjun & Li, Chang & Liu, Yuxing & Yi, Yuqin & Wen, Ming & Jiang, Zhuohan, 2022. "Two-stage robust optimization model for park integrated energy system based on dynamic programming," Applied Energy, Elsevier, vol. 308(C).
    5. Tan, Hong & Yan, Wei & Ren, Zhouyang & Wang, Qiujie & Mohamed, Mohamed A., 2022. "Distributionally robust operation for integrated rural energy systems with broiler houses," Energy, Elsevier, vol. 254(PC).
    6. Zhu, Dafeng & Yang, Bo & Liu, Qi & Ma, Kai & Zhu, Shanying & Ma, Chengbin & Guan, Xinping, 2020. "Energy trading in microgrids for synergies among electricity, hydrogen and heat networks," Applied Energy, Elsevier, vol. 272(C).
    7. Lazzari, Florencia & Mor, Gerard & Cipriano, Jordi & Solsona, Francesc & Chemisana, Daniel & Guericke, Daniela, 2023. "Optimizing planning and operation of renewable energy communities with genetic algorithms," Applied Energy, Elsevier, vol. 338(C).
    8. Goitia-Zabaleta, Nerea & Milo, Aitor & Gaztañaga, Haizea & Fernandez, Elvira, 2023. "Two-stage centralised management of Local Energy Market for prosumers integration in a community-based P2P," Applied Energy, Elsevier, vol. 348(C).
    9. Zhao, Liang & Dong, Hui & Tang, Jiajun & Cai, Jiuju, 2016. "Cold energy utilization of liquefied natural gas for capturing carbon dioxide in the flue gas from the magnesite processing industry," Energy, Elsevier, vol. 105(C), pages 45-56.
    10. Cavadini, Giovan Battista & Cook, Lauren M., 2021. "Green and cool roof choices integrated into rooftop solar energy modelling," Applied Energy, Elsevier, vol. 296(C).
    11. Gençer, Emre & Torkamani, Sarah & Miller, Ian & Wu, Tony Wenzhao & O'Sullivan, Francis, 2020. "Sustainable energy system analysis modeling environment: Analyzing life cycle emissions of the energy transition," Applied Energy, Elsevier, vol. 277(C).
    12. Juho Hamari & Mimmi Sjöklint & Antti Ukkonen, 2016. "The sharing economy: Why people participate in collaborative consumption," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2047-2059, September.
    13. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).
    14. Kathrin Specht & Rosemarie Siebert & Ina Hartmann & Ulf Freisinger & Magdalena Sawicka & Armin Werner & Susanne Thomaier & Dietrich Henckel & Heike Walk & Axel Dierich, 2014. "Urban agriculture of the future: an overview of sustainability aspects of food production in and on buildings," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(1), pages 33-51, March.
    15. Fan, Wei & Fan, Ying & Yao, Xing & Yi, Bowen & Jiang, Dalin & Wu, Lin, 2024. "Distributed transaction optimization model of multi-integrated energy systems based on nash negotiation," Renewable Energy, Elsevier, vol. 225(C).
    16. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    17. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Fernández-Lobato, Lázuli & Jurado, Francisco, 2023. "Robust energy management in isolated microgrids with hydrogen storage and demand response," Applied Energy, Elsevier, vol. 345(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. Zhang, Rongquan & Bu, Siqi & Li, Gangqiang, 2024. "Multi-market P2P trading of cooling–heating-power-hydrogen integrated energy systems: An equilibrium-heuristic online prediction optimization approach," Applied Energy, Elsevier, vol. 367(C).
    2. Matija Kostelac & Lin Herenčić & Tomislav Capuder, 2022. "Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options," Energies, MDPI, vol. 15(4), pages 1-17, February.
    3. Huang, Z.F. & Wan, Y.D. & Soh, K.Y. & Islam, M.R. & Chua, K.J., 2022. "Off-design and flexibility analyses of combined cooling and power based liquified natural gas (LNG) cold energy utilization system under fluctuating regasification rates," Applied Energy, Elsevier, vol. 310(C).
    4. Zhu, Dafeng & Yang, Bo & Ma, Chengbin & Wang, Zhaojian & Zhu, Shanying & Ma, Kai & Guan, Xinping, 2022. "Stochastic gradient-based fast distributed multi-energy management for an industrial park with temporally-coupled constraints," Applied Energy, Elsevier, vol. 317(C).
    5. Hutty, Timothy D. & Brown, Solomon, 2024. "P2P trading of heat and power via a continuous double auction," Applied Energy, Elsevier, vol. 369(C).
    6. Zhao, Naixin & Gu, Wenbo & Zheng, Zipeng & Ma, Tao, 2023. "Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process," Renewable Energy, Elsevier, vol. 216(C).
    7. Soto, Esteban A. & Bosman, Lisa B. & Wollega, Ebisa & Leon-Salas, Walter D., 2021. "Peer-to-peer energy trading: A review of the literature," Applied Energy, Elsevier, vol. 283(C).
    8. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
    9. Rodrigues, Daniel L. & Ye, Xianming & Xia, Xiaohua & Zhu, Bing, 2020. "Battery energy storage sizing optimisation for different ownership structures in a peer-to-peer energy sharing community," Applied Energy, Elsevier, vol. 262(C).
    10. Soto, Esteban A. & Bosman, Lisa B. & Wollega, Ebisa & Leon-Salas, Walter D., 2022. "Comparison of net-metering with peer-to-peer models using the grid and electric vehicles for the electricity exchange," Applied Energy, Elsevier, vol. 310(C).
    11. Liao, Wei & Xiao, Fu & Li, Yanxue & Peng, Jinqing, 2024. "Comparative study on electricity transactions between multi-microgrid: A hybrid game theory-based peer-to-peer trading in heterogeneous building communities considering electric vehicles," Applied Energy, Elsevier, vol. 367(C).
    12. Fan, Guozhu & Peng, Chunhua & Wang, Xuekui & Wu, Peng & Yang, Yifan & Sun, Huijuan, 2024. "Optimal scheduling of integrated energy system considering renewable energy uncertainties based on distributionally robust adaptive MPC," Renewable Energy, Elsevier, vol. 226(C).
    13. Huo, Shasha & Li, Qi & Pu, Yuchen & Xie, Shuqi & Chen, Weirong, 2024. "Low carbon dispatch method for hydrogen-containing integrated energy system considering seasonal carbon trading and energy sharing mechanism," Energy, Elsevier, vol. 308(C).
    14. Xiong, Houbo & Zhou, Yue & Guo, Chuangxin & Ding, Yi & Luo, Fengji, 2023. "Multi-stage risk-based assessment for wind energy accommodation capability: A robust and non-anticipative method," Applied Energy, Elsevier, vol. 350(C).
    15. López, Iraide & Goitia-Zabaleta, Nerea & Milo, Aitor & Gómez-Cornejo, Julen & Aranzabal, Itxaso & Gaztañaga, Haizea & Fernandez, Elvira, 2024. "European energy communities: Characteristics, trends, business models and legal framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    16. Adamu Sani Yahaya & Nadeem Javaid & Fahad A. Alzahrani & Amjad Rehman & Ibrar Ullah & Affaf Shahid & Muhammad Shafiq, 2020. "Blockchain Based Sustainable Local Energy Trading Considering Home Energy Management and Demurrage Mechanism," Sustainability, MDPI, vol. 12(8), pages 1-28, April.
    17. Tian, Zhen & Qi, Zhixin & Gan, Wanlong & Tian, Molin & Gao, Wenzhong, 2022. "A novel negative carbon-emission, cooling, and power generation system based on combined LNG regasification and waste heat recovery: Energy, exergy, economic, environmental (4E) evaluations," Energy, Elsevier, vol. 257(C).
    18. Tushar, Wayes & Yuen, Chau & Saha, Tapan K. & Morstyn, Thomas & Chapman, Archie C. & Alam, M. Jan E. & Hanif, Sarmad & Poor, H. Vincent, 2021. "Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges," Applied Energy, Elsevier, vol. 282(PA).
    19. Umer, Khalid & Huang, Qi & Khorasany, Mohsen & Afzal, Muhammad & Amin, Waqas, 2021. "A novel communication efficient peer-to-peer energy trading scheme for enhanced privacy in microgrids," Applied Energy, Elsevier, vol. 296(C).
    20. Ableitner, Liliane & Tiefenbeck, Verena & Meeuw, Arne & Wörner, Anselma & Fleisch, Elgar & Wortmann, Felix, 2020. "User behavior in a real-world peer-to-peer electricity market," Applied Energy, Elsevier, vol. 270(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:gam:jeners:v:18:y:2025:i:2:p:323-:d:1565860. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.