IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v260y2022ics0360544222019156.html
   My bibliography  Save this article

Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers

Author

Listed:
  • Hua, Zhihao
  • Li, Jiayong
  • Zhou, Bin
  • Or, Siu Wing
  • Chan, Ka Wing
  • Meng, Yunfan

Abstract

This paper proposes a game-theoretic multi-energy trading framework for a biogas-solar renewable energy provider with heterogeneous consumers to promote the efficient utilization of local renewable energy resources. Within the proposed framework, the multi-energy provider utilizes biogas-solar complementarities to enhance the operational flexibility for electricity, biogas, and heat energy supplies, and consumers are enabled to actively participate in demand response under different multi-energy prices from the provider and UCs. A multi-energy pricing model is then proposed based on the Stackelberg game to interactively and dynamically determine the internal trading prices for optimal multi-energy trading between the provider and consumers. Furthermore, a bi-level optimization method is formulated to solve the Stackelberg game-based multi-energy trading problem to maximize the provider's profit at the upper level and the welfare of each consumer at the lower level. Case studies show that the provider's profit is improved by 33.7% using the proposed scheme compared with the benchmark scheme, and meanwhile the average welfare of consumers for consuming biogas and electricity are approximately 3.0 and 1.4 times greater than those using the benchmark scheme.

Suggested Citation

  • Hua, Zhihao & Li, Jiayong & Zhou, Bin & Or, Siu Wing & Chan, Ka Wing & Meng, Yunfan, 2022. "Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers," Energy, Elsevier, vol. 260(C).
  • Handle: RePEc:eee:energy:v:260:y:2022:i:c:s0360544222019156
    DOI: 10.1016/j.energy.2022.125018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222019156
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.125018?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Mostafavi Sani, Mostafa & Mostafavi Sani, Hossein & Fowler, Michael & Elkamel, Ali & Noorpoor, Alireza & Ghasemi, Amir, 2022. "Optimal energy hub development to supply heating, cooling, electricity and freshwater for a coastal urban area taking into account economic and environmental factors," Energy, Elsevier, vol. 238(PB).
    2. Javadi, Mohammad Sadegh & Esmaeel Nezhad, Ali & Jordehi, Ahmad Rezaee & Gough, Matthew & Santos, Sérgio F. & Catalão, João P.S., 2022. "Transactive energy framework in multi-carrier energy hubs: A fully decentralized model," Energy, Elsevier, vol. 238(PB).
    3. Weatherford, Vergil C. & (John) Zhai, Zhiqiang, 2015. "Affordable solar-assisted biogas digesters for cold climates: Experiment, model, verification and analysis," Applied Energy, Elsevier, vol. 146(C), pages 209-216.
    4. Hahn, Henning & Krautkremer, Bernd & Hartmann, Kilian & Wachendorf, Michael, 2014. "Review of concepts for a demand-driven biogas supply for flexible power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 383-393.
    5. Wang, Jiangjiang & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Modeling and performance analysis of CCHP (combined cooling, heating and power) system based on co-firing of natural gas and biomass gasification gas," Energy, Elsevier, vol. 93(P1), pages 801-815.
    6. Azimi, Maryam & Salami, Abolfazl, 2021. "A new approach on quantification of flexibility index in multi-carrier energy systems towards optimally energy hub management," Energy, Elsevier, vol. 232(C).
    7. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, Decembrie.
    8. Su, Bosheng & Han, Wei & Jin, Hongguang, 2017. "Proposal and assessment of a novel integrated CCHP system with biogas steam reforming using solar energy," Applied Energy, Elsevier, vol. 206(C), pages 1-11.
    9. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "Combined heating and cooling networks with part-load efficiency curves: Optimization based on energy hub concept," Applied Energy, Elsevier, vol. 307(C).
    10. Zhang, Dong & Zheng, Yu & Wu, Jianghao & Li, Bingyang & Li, Jinping, 2020. "Annual energy characteristics and thermodynamic evaluation of combined heating, power and biogas system in cold rural area of Northwest China," Energy, Elsevier, vol. 192(C).
    11. Li, Chengzhou & Wang, Ningling & Wang, Zhuo & Dou, Xiaoxiao & Zhang, Yumeng & Yang, Zhiping & Maréchal, François & Wang, Ligang & Yang, Yongping, 2022. "Energy hub-based optimal planning framework for user-level integrated energy systems: Considering synergistic effects under multiple uncertainties," Applied Energy, Elsevier, vol. 307(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, 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).

    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. Su, Bosheng & Han, Wei & Zhang, Xiaosong & Chen, Yi & Wang, Zefeng & Jin, Hongguang, 2018. "Assessment of a combined cooling, heating and power system by synthetic use of biogas and solar energy," Applied Energy, Elsevier, vol. 229(C), pages 922-935.
    2. Liu, Zhouding & Nazari-Heris, Morteza, 2023. "Optimal bidding strategy of multi-carrier systems in electricity markets using information gap decision theory," Energy, Elsevier, vol. 280(C).
    3. Aslani, Mehrdad & Mashayekhi, Mehdi & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2022. "Robust optimal operation of energy hub incorporating integrated thermal and electrical demand response programs under various electric vehicle charging modes," Applied Energy, Elsevier, vol. 321(C).
    4. Su, Bosheng & Han, Wei & Qu, Wanjun & Liu, Changchun & Jin, Hongguang, 2018. "A new hybrid photovoltaic/thermal and liquid desiccant system for trigeneration application," Applied Energy, Elsevier, vol. 226(C), pages 808-818.
    5. 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).
    6. Su, Bosheng & Han, Wei & He, Hongzhou & Jin, Hongguang & Chen, Zhijie & Zheng, Jieqing & Yang, Shaohui & Zhang, Xiaodong, 2020. "Using moderate carbon dioxide separation to improve the performance of solar-driven biogas reforming process," Applied Energy, Elsevier, vol. 279(C).
    7. Han, Zepeng & Wang, Jiangjiang & Cui, Zhiheng & Lu, Chunyan & Qi, Xiaoling, 2021. "Multi-objective optimization and exergoeconomic analysis for a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system," Energy, Elsevier, vol. 237(C).
    8. Su, Bosheng & Lin, Feng & Ma, Jingyuan & Huang, Shenghua & Wang, Yilin & Zhang, Xiaodong & Han, Wei & Wang, Hongsheng, 2022. "System integration of multi-grade exploitation of biogas chemical energy driven by solar energy," Energy, Elsevier, vol. 241(C).
    9. Zhong, Xiaoqing & Zhong, Weifeng & Liu, Yi & Yang, Chao & Xie, Shengli, 2023. "A communication-efficient coalition graph game-based framework for electricity and carbon trading in networked energy hubs," Applied Energy, Elsevier, vol. 329(C).
    10. Su, Bosheng & Huang, Yupeng & Wang, Yilin & Huang, Zhi & Yuan, Shuo & Huang, Qiteng & Xu, Zhilong & Lin, Feng, 2023. "Novel ammonia-driven chemically recuperated gas turbine cycle based on dual fuel mode," Applied Energy, Elsevier, vol. 343(C).
    11. Wang, Jiangjiang & Ma, Chaofan & Wu, Jing, 2019. "Thermodynamic analysis of a combined cooling, heating and power system based on solar thermal biomass gasification☆," Applied Energy, Elsevier, vol. 247(C), pages 102-115.
    12. Zhang, Kuan & Zhou, Bin & Li, Canbing & Voropai, Nikolai & Li, Jiayong & Huang, Wentao & Wang, Tao, 2021. "Dynamic modeling and coordinated multi-energy management for a sustainable biogas-dominated energy hub," Energy, Elsevier, vol. 220(C).
    13. Zhang, Dong & Zhang, Rui & Zhang, Bin & Zheng, Yu & An, Zhoujian, 2023. "Environment dominated evaluation modeling and collocation optimization of a distributed energy system based on solar and biomass energy," Renewable Energy, Elsevier, vol. 202(C), pages 1226-1240.
    14. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    15. Jolian McHardy & Michael Reynolds & Stephen Trotter, 2012. "The Stackelberg Model as a Partial Solution to the Problem of Pricing in a Network," Working Paper series 19_12, Rimini Centre for Economic Analysis.
    16. Janvier D. Nkurunziza, 2005. "Reputation and Credit without Collateral in Africa`s Formal Banking," Economics Series Working Papers WPS/2005-02, University of Oxford, Department of Economics.
    17. Stephanie Rosenkranz & Patrick W. Schmitz, 2007. "Can Coasean Bargaining Justify Pigouvian Taxation?," Economica, London School of Economics and Political Science, vol. 74(296), pages 573-585, November.
    18. Luo, Tao & Khoshnevisan, Benyamin & Huang, Ruyi & Chen, Qiu & Mei, Zili & Pan, Junting & Liu, Hongbin, 2020. "Analysis of revolution in decentralized biogas facilities caused by transition in Chinese rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    19. Vadim Borokhov, 2014. "On the properties of nodal price response matrix in electricity markets," Papers 1404.3678, arXiv.org, revised Jan 2015.
    20. Daniel Sutter & Daniel J. Smith, 2017. "Coordination in disaster: Nonprice learning and the allocation of resources after natural disasters," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(4), pages 469-492, December.

    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:260:y:2022:i:c:s0360544222019156. 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.