IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v242y2026icp323-342.html

A master-slave game based shared energy storage time-of-use pricing strategy under blockchain technology

Author

Listed:
  • Li, Wanying
  • Dong, Fugui
  • Ji, Zhengsen
  • Du, Ruoyun

Abstract

To address the current problems of low energy storage utilization efficiency and income, this study first designs a smart contract-based shared energy storage (SES) framework, which specifies the transaction mechanisms among the grid, user aggregator, new energy aggregator, and SES service provider. Second, a master-slave game model is established with the SES service provider as the leader and the user aggregator, and new energy aggregator as the followers. A master-multi-slave Stackelberg game time-of-use pricing solution is proposed. Finally, arithmetic simulation and multi-scenario, multi-method comparative analysis are performed to optimize the strategies of each subject using the improved genetic algorithm combined with the Gurobi solver. The results show that blockchain technology can effectively support SES service providers to realize time-of-use pricing transactions. With time-of-use pricing, the profit of the SES service provider can reach 22508 yuan, which is better than single pricing of 4648 yuan, and also improves the profits of the user aggregator and new energy aggregator. More profit is made when the initial state of the storage unit is low. 10 %-15 % of shared storage configurations are the most profitable in terms of unit size. For time-of-use pricing problem, the improved genetic algorithm outperforms particle swarm and gray wolf algorithms.

Suggested Citation

  • Li, Wanying & Dong, Fugui & Ji, Zhengsen & Du, Ruoyun, 2026. "A master-slave game based shared energy storage time-of-use pricing strategy under blockchain technology," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 242(C), pages 323-342.
  • Handle: RePEc:eee:matcom:v:242:y:2026:i:c:p:323-342
    DOI: 10.1016/j.matcom.2025.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425005233
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.12.002?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. Aouad, Anthony & Almaksour, Khaled & Abbes, Dhaker, 2024. "Storage management optimization based on electrical consumption and production forecast in a photovoltaic system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PB), pages 128-147.
    2. Zhang, Tianhan & Qiu, Weiqiang & Zhang, Zhi & Lin, Zhenzhi & Ding, Yi & Wang, Yiting & Wang, Lianfang & Yang, Li, 2023. "Optimal bidding strategy and profit allocation method for shared energy storage-assisted VPP in joint energy and regulation markets," Applied Energy, Elsevier, vol. 329(C).
    3. Khojasteh, Meysam & Faria, Pedro & Vale, Zita, 2025. "Distributed robust optimization model for resiliency analysis of energy communities with shared energy storage systems," Energy, Elsevier, vol. 320(C).
    4. Wang, Dongxue & Fan, Ruguo & Yang, Peiwen & Du, Kang & Xu, Xiaoxia & Chen, Rongkai, 2024. "Research on floating real-time pricing strategy for microgrid operator in local energy market considering shared energy storage leasing," Applied Energy, Elsevier, vol. 368(C).
    5. van Leeuwen, Gijs & AlSkaif, Tarek & Gibescu, Madeleine & van Sark, Wilfried, 2020. "An integrated blockchain-based energy management platform with bilateral trading for microgrid communities," Applied Energy, Elsevier, vol. 263(C).
    6. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.
    7. Cao, Wenzhi & Xiao, Jiang-Wen & Cui, Shi-Chang & Liu, Xiao-Kang, 2022. "An efficient and economical storage and energy sharing model for multiple multi-energy microgrids," Energy, Elsevier, vol. 244(PB).
    8. Celades, Eloy & Pérez, Emilio & Aparicio, Néstor & Peñarrocha-Alós, Ignacio, 2024. "Tool for optimization of sale and storage of energy in wind farms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PB), pages 2-18.
    9. Liu, Jicheng & Song, Yanan & Xue, Xiaojun & Duan, Bingfan & Hadi, Dhaif Allah, 2025. "Value evaluation model study on shared energy storage adapted to the needs of new power system," Energy, Elsevier, vol. 330(C).
    10. Rigo-Mariani, Rémy & Debusschere, Vincent, 2024. "A two-stage coordination strategy for the control of distributed storage at the household level—Arbitrage between users preferences and distribution grid objectives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PB), pages 111-127.
    11. Yang, Xiaohui & Yi, Xinlan & Wang, Hongye & Li, Longxi, 2025. "Shared energy storage with multi-microgrids: Coordinated development and economic–social–environmental comprehensive assessment under supply–demand uncertainties," Renewable Energy, Elsevier, vol. 249(C).
    12. Li, Xiaozhu & Chen, Laijun & Sun, Fan & Hao, Yibo & Du, Xili & Mei, Shenwei, 2023. "Share or not share, the analysis of energy storage interaction of multiple renewable energy stations based on the evolution game," Renewable Energy, Elsevier, vol. 208(C), pages 679-692.
    13. Jagdish Prasad Nepal & Nuttaya Yuangyai & Saroj Gyawali & Chumpol Yuangyai, 2022. "Blockchain-Based Smart Renewable Energy: Review of Operational and Transactional Challenges," Energies, MDPI, vol. 15(13), pages 1-21, July.
    14. Li, Wanying & Dong, Fugui & Ji, Zhengsen & Wang, Peijun, 2025. "Internal and external coordinated distributionally robust bidding strategy of virtual power plant operator participating in day-ahead electricity spot and peaking ancillary services markets," Applied Energy, Elsevier, vol. 386(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. Liu, Jicheng & Song, Yanan & Xue, Xiaojun & Duan, Bingfan & Hadi, Dhaif Allah, 2025. "Value evaluation model study on shared energy storage adapted to the needs of new power system," Energy, Elsevier, vol. 330(C).
    2. Emanuele Guerrazzi & Dimitri Thomopulos & Davide Fioriti & Ivan Mariuzzo & Eva Schito & Davide Poli & Marco Raugi, 2023. "Design of Energy Communities and Data-Sharing: Format and Open Data," Energies, MDPI, vol. 16(17), pages 1-26, August.
    3. Wang, Dongxue & Fan, Ruguo & Yang, Peiwen & Du, Kang & Xu, Xiaoxia & Chen, Rongkai, 2024. "Research on floating real-time pricing strategy for microgrid operator in local energy market considering shared energy storage leasing," Applied Energy, Elsevier, vol. 368(C).
    4. Gang Liang & Yu Wang & Bing Sun & Zheng Zhang, 2024. "An Optimization Method for the Distributed Collaborative Operation of Multilateral Entities Considering Dynamic Time-of-Use Electricity Price in Active Distribution Network," Energies, MDPI, vol. 17(2), pages 1-19, January.
    5. He, Jiaming & Tan, Qinliang & Lv, Hanyu, 2025. "Data-driven climate resilience assessment for distributed energy systems using diffusion transformer and polynomial expansions," Applied Energy, Elsevier, vol. 380(C).
    6. Muhammad Waseem & Muhammad Adnan Khan & Arman Goudarzi & Shah Fahad & Intisar Ali Sajjad & Pierluigi Siano, 2023. "Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges," Energies, MDPI, vol. 16(2), pages 1-29, January.
    7. Gao, Yang & Ai, Qian & He, Xing & Fan, Songli, 2023. "Coordination for regional integrated energy system through target cascade optimization," Energy, Elsevier, vol. 276(C).
    8. Dong, Fugui & Wang, Peijun & Li, Wanying, 2025. "Investment suitability assessment and multi-attribute decision-making research for wind-photovoltaic‑hydrogen-storage integrated project based on GIS and cloud weighted power Heronian mean operator," Applied Energy, Elsevier, vol. 401(PC).
    9. Zhuoxin Lu & Xiaoyuan Xu & Zheng Yan & Dong Han & Shiwei Xia, 2024. "Mobile Energy-Storage Technology in Power Grid: A Review of Models and Applications," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    10. Cui, Jingshi & Wu, Jiaman & Wu, Chenye & Moura, Scott, 2023. "Electric vehicles embedded virtual power plants dispatch mechanism design considering charging efficiencies," Applied Energy, Elsevier, vol. 352(C).
    11. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    12. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    13. Sara Khan & Uzma Amin & Ahmed Abu-Siada, 2024. "P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review," Energies, MDPI, vol. 17(9), pages 1-17, April.
    14. Ding, Yihong & Tan, Qinliang & Shan, Zijing & Han, Jian & Zhang, Yimei, 2023. "A two-stage dispatching optimization strategy for hybrid renewable energy system with low-carbon and sustainability in ancillary service market," Renewable Energy, Elsevier, vol. 207(C), pages 647-659.
    15. Kaiss, Mateus & Wan, Yihao & Gebbran, Daniel & Vila, Clodomiro Unsihuay & Dragičević, Tomislav, 2025. "Review on Virtual Power Plants/Virtual Aggregators: Concepts, applications, prospects and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    16. Ruan, Hebin & Gao, Hongjun & Gooi, Hoay Beng & Liu, Junyong, 2022. "Active distribution network operation management integrated with P2P trading," Applied Energy, Elsevier, vol. 323(C).
    17. Hou, Langbo & Tong, Xi & Chen, Heng & Fan, Lanxin & Liu, Tao & Liu, Wenyi & Liu, Tong, 2024. "Optimized scheduling of smart community energy systems considering demand response and shared energy storage," Energy, Elsevier, vol. 295(C).
    18. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    19. Kang, Keyi & Jia, Heping & Hui, Hongxun & Liu, Dunnan, 2025. "Two-stage optimization configuration of shared energy storage for multi-distributed photovoltaic clusters in rural distribution networks considering self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 394(C).
    20. Liu, Xin & Lin, Xueshan & Qiu, Haifeng & Li, Yang & Huang, Tao, 2024. "Optimal aggregation and disaggregation for coordinated operation of virtual power plant with distribution network operator," Applied Energy, Elsevier, vol. 376(PA).

    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:matcom:v:242:y:2026:i:c:p:323-342. 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/mathematics-and-computers-in-simulation/ .

    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.