IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v277y2023ics036054422301023x.html
   My bibliography  Save this article

Stackelberg game based energy sharing for zero-carbon community considering reward and punishment of carbon emission

Author

Listed:
  • Gao, Hongjun
  • Cai, Wenhui
  • He, Shuaijia
  • Liu, Chang
  • Liu, Junyong

Abstract

The challenge of energy conservation and emission reduction makes the energy management research for zero-carbon communities (ZCCs) quite important. In this context, a Stackelberg game based energy sharing model for ZCC considering the reward and punishment of carbon emission is proposed. Firstly, a framework of ZCC including a ZCC operator (ZCCO) and multiple building prosumers (BPs) is established. To improve the energy conservation and emission reduction of ZCC, two reward and punishment mechanisms respectively from short-term and long-term perspectives are introduced. In the day-ahead scheduling stage, the scheduling model of energy storage systems (ESSs) considering the economy and environmental protection is established. Especially, the ESS is scheduled by ZCCO to further reduce the overall carbon emission. In the real-time optimization stage, considering the reward and punishment mechanisms for carbon emission, benefit functions of ZCCO and BPs are constructed and modified accordingly. Then, the Stackelberg game model of the ZCC considering BPs and ZCCO is constructed based on the internal prices from ZCCO. The energy sharing among BPs is also realized. Finally, the proposed model is solved by the particle swarm optimization algorithm and CPLEX. Simulation results show the proposed model and algorithm are reasonable and effective in the energy sharing.

Suggested Citation

  • Gao, Hongjun & Cai, Wenhui & He, Shuaijia & Liu, Chang & Liu, Junyong, 2023. "Stackelberg game based energy sharing for zero-carbon community considering reward and punishment of carbon emission," Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:energy:v:277:y:2023:i:c:s036054422301023x
    DOI: 10.1016/j.energy.2023.127629
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422301023X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127629?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. Yu, Mengmeng & Hong, Seung Ho, 2016. "Supply–demand balancing for power management in smart grid: A Stackelberg game approach," Applied Energy, Elsevier, vol. 164(C), pages 702-710.
    2. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    3. Tong Xing & Hongyu Lin & Zhongfu Tan & Liwei Ju, 2019. "Coordinated Energy Management for Micro Energy Systems Considering Carbon Emissions Using Multi-Objective Optimization," Energies, MDPI, vol. 12(23), pages 1-27, November.
    4. Gupta, Monika, 2016. "Willingness to pay for carbon tax: A study of Indian road passenger transport," Transport Policy, Elsevier, vol. 45(C), pages 46-54.
    5. Wang, Jing & Munankarmi, Prateek & Maguire, Jeff & Shi, Chengnan & Zuo, Wangda & Roberts, David & Jin, Xin, 2022. "Carbon emission responsive building control: A case study with an all-electric residential community in a cold climate," Applied Energy, Elsevier, vol. 314(C).
    6. Kennedy, Scott & Sgouridis, Sgouris, 2011. "Rigorous classification and carbon accounting principles for low and Zero Carbon Cities," Energy Policy, Elsevier, vol. 39(9), pages 5259-5268, September.
    7. Wenqiang Guo & Xinyi Xu, 2022. "Comprehensive Energy Demand Response Optimization Dispatch Method Based on Carbon Trading," Energies, MDPI, vol. 15(9), pages 1-17, April.
    8. Xianxian Pan & Hong Liu & Jiajia Huan & Yu Sui & Haifeng Hong, 2020. "Allocation Model of Carbon Emission Permits for the Electric Power Industry with a Combination Subjective and Objective Weighting Approach," Energies, MDPI, vol. 13(3), pages 1-12, February.
    9. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    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. Gao, Hongjun & Wang, Wenqin & He, Shuaijia & Tang, Zhiyuan & Liu, Junyong, 2024. "Low-carbon economic scheduling for AIES considering flexible load coordination and multiple uncertainties," Renewable Energy, Elsevier, vol. 228(C).
    2. Wang, Yifeng & Jiang, Aihua & Wang, Rui & Tian, Junyang, 2024. "A canonical coalitional game model incorporating motivational psychology analysis for incentivizing stable direct energy trading in smart grid," Energy, Elsevier, vol. 289(C).
    3. Wang, Yi & Jin, Zikang & Liang, Jing & Li, Zhongwen & Dinavahi, Venkata & Liang, Jun, 2024. "Low-carbon optimal scheduling of park-integrated energy system based on bidirectional Stackelberg-Nash game theory," Energy, Elsevier, vol. 305(C).
    4. Cai, Pengcheng & Mi, Yang & Ma, Siyuan & Li, Hongzhong & Li, Dongdong & Wang, Peng, 2023. "Hierarchical game for integrated energy system and electricity-hydrogen hybrid charging station under distributionally robust optimization," Energy, Elsevier, vol. 283(C).
    5. Yan, Haoran & Hou, Hongjuan & Deng, Min & Si, Lengge & Wang, Xi & Hu, Eric & Zhou, Rhonin, 2024. "Stackelberg game theory based model to guide users’ energy use behavior, with the consideration of flexible resources and consumer psychology, for an integrated energy system," Energy, Elsevier, vol. 288(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. Zhao Luo & Jinghui Wang & Ni Xiao & Linyan Yang & Weijie Zhao & Jialu Geng & Tao Lu & Mengshun Luo & Chenming Dong, 2022. "Low Carbon Economic Dispatch Optimization of Regional Integrated Energy Systems Considering Heating Network and P2G," Energies, MDPI, vol. 15(15), pages 1-14, July.
    2. Yiqi Dong & Zuoji Dong, 2023. "Bibliometric Analysis of Game Theory on Energy and Natural Resource," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    3. Sajjad Ali & Imran Khan & Sadaqat Jan & Ghulam Hafeez, 2021. "An Optimization Based Power Usage Scheduling Strategy Using Photovoltaic-Battery System for Demand-Side Management in Smart Grid," Energies, MDPI, vol. 14(8), pages 1-29, April.
    4. Nassima Radouane, 2022. "A Comprehensive Review of Composite Phase Change Materials (cPCMs) for Thermal Management Applications, Including Manufacturing Processes, Performance, and Applications," Energies, MDPI, vol. 15(21), pages 1-28, November.
    5. Hong, Zitao & Peng, Zhen & Zhang, Liumei, 2022. "Game analysis on the choice of emission trading among industrial enterprises driven by data," Energy, Elsevier, vol. 239(PE).
    6. Jiaqi Wu & Qian Zhang & Yangdong Lu & Tianxi Qin & Jianyong Bai, 2023. "Source-Load Coordinated Low-Carbon Economic Dispatch of Microgrid including Electric Vehicles," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    7. Kai Ma & Shubing Hu & Jie Yang & Chunxia Dou & Josep M. Guerrero, 2017. "Energy Trading and Pricing in Microgrids with Uncertain Energy Supply: A Three-Stage Hierarchical Game Approach," Energies, MDPI, vol. 10(5), pages 1-16, May.
    8. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    9. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    10. Wang, Tonghe & Hua, Haochen & Shi, Tianying & Wang, Rui & Sun, Yizhong & Naidoo, Pathmanathan, 2024. "A bi-level dispatch optimization of multi-microgrid considering green electricity consumption willingness under renewable portfolio standard policy," Applied Energy, Elsevier, vol. 356(C).
    11. Becchio, Cristina & Bottero, Marta Carla & Corgnati, Stefano Paolo & Dell’Anna, Federico, 2018. "Decision making for sustainable urban energy planning: an integrated evaluation framework of alternative solutions for a NZED (Net Zero-Energy District) in Turin," Land Use Policy, Elsevier, vol. 78(C), pages 803-817.
    12. Gupta, Monika & Bandyopadhyay, Kaushik Ranjan & Singh, Sanjay K., 2019. "Measuring effectiveness of carbon tax on Indian road passenger transport: A system dynamics approach," Energy Economics, Elsevier, vol. 81(C), pages 341-354.
    13. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    14. Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    15. Scott Kelly & Michael Pollitt & Doug Crawford-Brown, 2011. "Building performance evaluation and certification in the UK: a critical review of SAP?," Working Papers EPRG 1219, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    16. Chu, Baoju & Dong, Yizhe & Liu, Yaorong & Ma, Diandian & Wang, Tianju, 2024. "Does China's emission trading scheme affect corporate financial performance: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 132(C).
    17. Kelly, Scott & Crawford-Brown, Doug & Pollitt, Michael G., 2012. "Building performance evaluation and certification in the UK: Is SAP fit for purpose?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6861-6878.
    18. Wanlin Yu & Jinlong Luo, 2022. "Impact on Carbon Intensity of Carbon Emission Trading—Evidence from a Pilot Program in 281 Cities in China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    19. Lei Yao & Chongtao Bai & Hao Fu & Suhua Lou & Yan Fu, 2023. "Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading," Energies, MDPI, vol. 16(18), pages 1-17, September.
    20. Byeongtae Ahn, 2022. "Implementation and Early Adoption of an Ethereum-Based Electronic Voting System for the Prevention of Fraudulent Voting," Sustainability, MDPI, vol. 14(5), pages 1-16, March.

    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:277:y:2023:i:c:s036054422301023x. 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.