IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v288y2024ics0360544223032620.html

Cooperative operation of industrial/commercial/residential integrated energy system with hydrogen energy based on Nash bargaining theory

Author

Listed:
  • Wang, L.L.
  • Xian, R.C.
  • Jiao, P.H.
  • Liu, X.H.
  • Xing, Y.W.
  • Wang, W.

Abstract

As a result of the development of energy commercialization, integrated energy services can meet multiple forms of energy supply. In this paper, the cooperative game of a multi-park integrated energy system for industrial, commercial, and residential areas with hydrogen energy based on Nash bargaining theory is established towards the joint dispatching of parks with operation differences in energy sharing mode. Firstly, the techno-economic framework considering the difference of park integrated energy systems is built, whilst introducing the hydrogen-doped electric-to-gas process. Second, by taking into consideration the interests demands and individual differences of each park subject through the cooperative game, the operation representing the interests of the multi-park integrated energy system is established. Then, on the basis of ensuring that the proposed cooperative game model can maximize the social benefits, the original problem is transformed into two easier-to-solve sub-problems. The alternating direction method of multipliers is used to successively solve the two sub-problems in a distributed manner. Finally, the simulation results show that the proposed model can reduce the purchased cost by 1298.8199 $, operation cost by 2319.3456 $, and carbon emissions by 62.1281 t, and improve the renewable energy integration by 12.3011 MW compared with the non-cooperative operation.

Suggested Citation

  • Wang, L.L. & Xian, R.C. & Jiao, P.H. & Liu, X.H. & Xing, Y.W. & Wang, W., 2024. "Cooperative operation of industrial/commercial/residential integrated energy system with hydrogen energy based on Nash bargaining theory," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032620
    DOI: 10.1016/j.energy.2023.129868
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223032620
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129868?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. Chen, Changming & Wu, Xueyan & Li, Yan & Zhu, Xiaojun & Li, Zesen & Ma, Jien & Qiu, Weiqiang & Liu, Chang & Lin, Zhenzhi & Yang, Li & Wang, Qin & Ding, Yi, 2021. "Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages," Applied Energy, Elsevier, vol. 302(C).
    2. Yan, Rujing & Wang, Jiangjiang & Huo, Shuojie & Qin, Yanbo & Zhang, Jing & Tang, Saiqiu & Wang, Yuwei & Liu, Yan & Zhou, Lin, 2023. "Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy," Energy, Elsevier, vol. 263(PB).
    3. Chen, Weidong & Wang, Junnan & Yu, Guanyi & Chen, Jiajia & Hu, Yumeng, 2022. "Research on day-ahead transactions between multi-microgrid based on cooperative game model," Applied Energy, Elsevier, vol. 316(C).
    4. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    5. Gao, Xian & Knueven, Bernard & Siirola, John D. & Miller, David C. & Dowling, Alexander W., 2022. "Multiscale simulation of integrated energy system and electricity market interactions," Applied Energy, Elsevier, vol. 316(C).
    6. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    7. Shi, Mengshu & Huang, Yuansheng & Lin, Hongyu, 2023. "Research on power to hydrogen optimization and profit distribution of microgrid cluster considering shared hydrogen storage," Energy, Elsevier, vol. 264(C).
    8. Wang, Liying & Lin, Jialin & Dong, Houqi & Wang, Yuqing & Zeng, Ming, 2023. "Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system," Energy, Elsevier, vol. 270(C).
    9. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    10. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Day-ahead bidding strategy of regional integrated energy systems considering multiple uncertainties in electricity markets," Applied Energy, Elsevier, vol. 348(C).
    11. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).
    12. Lozano, Miguel A. & Serra, Luis M. & Pina, Eduardo A., 2022. "Optimal design of trigeneration systems for buildings considering cooperative game theory for allocating production cost to energy services," Energy, Elsevier, vol. 261(PB).
    13. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "Low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems from the perspective of System of Systems," Energy, Elsevier, vol. 244(PA).
    14. Chen, J.J. & Qi, B.X. & Rong, Z.K. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement," Energy, Elsevier, vol. 217(C).
    15. Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(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. Li, Jinhang & Chen, Heng & Qi, Yizheng & Wang, Yinan & Lei, Jing, 2025. "Collaborative optimization for cross-regional integrated energy systems producing electricity-heat-hydrogen based on generalized Nash bargaining," Energy, Elsevier, vol. 333(C).
    2. Liang, Ziwen & Mu, Longhua, 2024. "Multi-agent low-carbon optimal dispatch of regional integrated energy system based on mixed game theory," Energy, Elsevier, vol. 295(C).
    3. Zhou, Yixing & Hou, Hongjuan & Yan, Haoran & Wang, Xi & Zhou, Rhonin, 2025. "Data-driven distributionally robust stochastic optimal dispatching method of integrated energy system considering multiple uncertainties," Energy, Elsevier, vol. 325(C).
    4. Xu, Xun & Shao, Zhenguo & Chen, Feixiong & Cheng, Guoyang, 2025. "Stochastic robust optimization scheduling for integrated energy system cluster based on data-driven method," Applied Energy, Elsevier, vol. 400(C).
    5. Zhong, Xiaoqing & Lin, Zhenjia & Xiao, Dongliang & Yang, Chao & Wang, Guotao & Lai, Chun Sing & Zhou, Guoxu & Xie, Shengli, 2025. "A parallel distributed bargaining mechanism for joint electricity-carbon trading in multi-energy manufacturing plant networks," Energy, Elsevier, vol. 335(C).
    6. Jiao, P.H. & Zhao, Z.H. & Wang, L.L. & Chen, J.J., 2026. "Region-integrated energy management with energy dynamic refinement mode under multiple utilizations of hydrogen energy," Renewable Energy, Elsevier, vol. 256(PI).
    7. Zhang, Yue & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2025. "A multi-agent distributed electricity-carbon shared trading strategy considering regional carbon inclusion," Renewable Energy, Elsevier, vol. 239(C).
    8. Baihao Qiao & Hui Xu & Yitong Liu & Jinglong Ye & Hejuan Hu & Li Yan & Tao Wei, 2025. "Economic, Low-Carbon Dispatch of Seasonal Park Integrated Energy System Based on Adjustable Cooling–Heating–Power Ratio," Energies, MDPI, vol. 18(19), pages 1-25, September.
    9. Cao, Jinye & Yang, Dechang & Dehghanian, Payman, 2024. "Cooperative operation for multiple virtual power plants considering energy-carbon trading: A Nash bargaining model," Energy, Elsevier, vol. 307(C).
    10. Wang, Jiakang & Qiu, Ruixian & Wang, Zhiheng & Xi, Guang, 2026. "Low carbon economic dispatch of electric-hydrogen-blended natural gas integrated energy system with multi-energy coupling and integrated demand response," Energy, Elsevier, vol. 344(C).
    11. Arthur, Emmanuel Kwesi & De-León Almaraz, Sofía & Solymosi, Tamás, 2026. "Strategic dynamics in hydrogen deployment: A game-theoretical review of competition, cooperation, and coopetition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).
    12. Zhang, Tao & Li, Guojun & Wei, Linyang & Ji, Wenchao & Qiu, Yong & Zhang, Qinrui, 2024. "A novel dynamic simulation strategy for regional integrated energy system considering coupling components failure," Energy, Elsevier, vol. 295(C).
    13. Cheng, Haihui & Hamidoğlu, Ali & Sysoeva, Liubov & Garcia, Pablo Venegas & Milne, Russell & Burkus, Zvonko & Wang, Hao, 2025. "A novel evolutionary game-based low-methane application in three-echelon energy supply chains," Applied Energy, Elsevier, vol. 401(PC).

    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. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    2. Qu, Jiawei & Xu, Kaiwen & Hou, Kai & Liu, Zeyu & Wu, Hao & Jia, Hongjie & Zhu, Lewei, 2025. "Reliable and economic operation of regional-community integrated energy systems: A hybrid game approach based on state similarity," Energy, Elsevier, vol. 336(C).
    3. Xu, Xun & Shao, Zhenguo & Chen, Feixiong & Cheng, Guoyang, 2024. "Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy," Energy, Elsevier, vol. 303(C).
    4. Li, Xinyan & Wu, Nan, 2024. "A two-stage distributed robust optimal control strategy for energy collaboration in multi-regional integrated energy systems based on cooperative game," Energy, Elsevier, vol. 305(C).
    5. Wang, Haiyang & Li, Ke & Zhang, Chenghui & Chen, Jianfei, 2024. "Capacity and operation joint optimization for integrated energy system based on Nash bargaining game," Energy, Elsevier, vol. 305(C).
    6. Chen, Runxin & Song, Dongran & Liao, Liqing & Yang, Jian & Dong, Mi & Talaat, M. & Elkholy, M.H., 2025. "Feedback correction scheduling strategy for electric vehicles based on multi-regional agent master-slave and evolutionary hybrid game," Energy, Elsevier, vol. 319(C).
    7. Chen, Yuzhu & Guo, Weimin & Du, Na & Yang, Kun & Wang, Jiangjiang, 2024. "Master slave game-based optimization of an off-grid combined cooling and power system coupled with solar thermal and photovoltaics considering carbon cost allocation," Renewable Energy, Elsevier, vol. 229(C).
    8. Hu, Likun & Cao, Yi & Yin, Linfei, 2024. "Long-term price guidance mechanism for integrated energy systems based on gated recurrent unit - vision transformer prediction and fractional-order stochastic dynamic calculus control," Energy, Elsevier, vol. 312(C).
    9. Wang, L.L. & Xian, R.C. & Jiao, P.H. & Chen, J.J. & Chen, Y. & Liu, H.G., 2024. "Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading," Renewable Energy, Elsevier, vol. 228(C).
    10. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Maimaiti, Pakezhati & Zhao, Yi, 2024. "Cross-regional green certificate transaction strategies based on a double-layer game model," Applied Energy, Elsevier, vol. 356(C).
    11. Cui, Shiting & Zhu, Ruijin & Wu, Jun, 2024. "A double layer energy cooperation framework for prosumer groups in high altitude areas," Renewable Energy, Elsevier, vol. 224(C).
    12. Habib, Salman & El-Ferik, Sami & Gulzar, Muhammad Majid & Chauhdary, Sohaib Tahir & Ahmad, Hasnain & Ahmed, Emad M., 2025. "Optimizing integrated energy systems with a robust MISOCP model and C&CG algorithm for enhanced grid efficiency and profitability," Energy, Elsevier, vol. 318(C).
    13. Lin, Wen-Ting & Guo, Qitao & Jia, Tao & Li, Chaojie & Zhou, Xiaojun & Li, Jueyou & Ming, Tingzhen, 2026. "Hydrogen–energy–carbon coupled pricing for integrated energy systems: Stackelberg game and robust demand response under renewable uncertainty," Renewable Energy, Elsevier, vol. 260(C).
    14. Zhao, Wenna & Ma, Kai & Yang, Jie & Guo, Shiliang, 2024. "A multi-time scale demand response scheme based on noncooperative game for economic operation of industrial park," Energy, Elsevier, vol. 302(C).
    15. Ge, Haotian & Zhu, Yu & Zhong, Jiuming & Wu, Liang, 2024. "Day-ahead optimization for smart energy management of multi-microgrid using a stochastic-robust model," Energy, Elsevier, vol. 313(C).
    16. Gabriele Volpato & Gianluca Carraro & Enrico Dal Cin & Sergio Rech, 2024. "On the Different Fair Allocations of Economic Benefits for Energy Communities," Energies, MDPI, vol. 17(19), pages 1-26, September.
    17. Ding, Jianyong & Gao, Ciwei & Song, Meng & Yan, Xingyu & Chen, Tao, 2022. "Bi-level optimal scheduling of virtual energy station based on equal exergy replacement mechanism," Applied Energy, Elsevier, vol. 327(C).
    18. Li, Ling-Ling & Miao, Yan & Lim, Ming K. & Sethanan, Kanchana & Tseng, Ming-Lang, 2024. "Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game," Renewable Energy, Elsevier, vol. 222(C).
    19. Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    20. Liang, Ziwen & Mu, Longhua, 2024. "Multi-agent low-carbon optimal dispatch of regional integrated energy system based on mixed game theory," Energy, Elsevier, vol. 295(C).

    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:288:y:2024:i:c:s0360544223032620. 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.