IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v309y2024ics0360544224027580.html
   My bibliography  Save this article

Low-carbon operation of multi-virtual power plants with hydrogen doping and load aggregator based on bilateral cooperative game

Author

Listed:
  • Liu, Xinrui
  • Li, Ming
  • Wang, Rui
  • Feng, Junbo
  • Dong, Chaoyu
  • Sun, Qiuye

Abstract

In order to establish a feasible trading framework between the energy supply and demand sides within the multi-virtual power plants (MVPP) and explore the potential for low-carbon operation, this paper studies the MVPP energy trading problem and the interaction between supply and demand involving virtual power plant (VPP) operators and load aggregator (LA) based on cooperative game theory. Additionally, it investigates the low-carbon capacity of integrated hydrogen energy utilization within the system that includes natural gas and hydrogen doping. Firstly, the energy trading framework for the MVPP and LA is proposed, along with the bilateral trading model for the VPP. Secondly, for a single VPP, a multi-energy collaboration VPP considering natural gas and hydrogen doping is constructed. The non-convex and nonlinear game problem is decomposed into two subproblems and distributed using the alternating direction multiplier method (ADMM) to effectively protect the privacy of each participant. The simulation results show that the energy trading model of the MVPP and LA enhances the comprehensive benefits of users and facilitates energy complementarity within MVPP. Furthermore, the higher the hydrogen doping ratio of the gas units under MVPP cooperative operation, the better the low-carbon performance of the system.

Suggested Citation

  • Liu, Xinrui & Li, Ming & Wang, Rui & Feng, Junbo & Dong, Chaoyu & Sun, Qiuye, 2024. "Low-carbon operation of multi-virtual power plants with hydrogen doping and load aggregator based on bilateral cooperative game," Energy, Elsevier, vol. 309(C).
  • Handle: RePEc:eee:energy:v:309:y:2024:i:c:s0360544224027580
    DOI: 10.1016/j.energy.2024.132984
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224027580
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.132984?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. Li, Qiang & Zhou, Yongcheng & Wei, Fanchao & Li, Shuangxiu & Wang, Zhonghao & Li, Jiajia & Zhou, Guowen & Liu, Jinfu & Yan, Peigang & Yu, Daren, 2024. "Multi-time scale scheduling for virtual power plants: Integrating the flexibility of power generation and multi-user loads while considering the capacity degradation of energy storage systems," Applied Energy, Elsevier, vol. 362(C).
    2. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    3. Wang, Yudong & Hu, Junjie, 2023. "Two-stage energy management method of integrated energy system considering pre-transaction behavior of energy service provider and users," Energy, Elsevier, vol. 271(C).
    4. Li, Songrui & Zhang, Lihui & Nie, Lei & Wang, Jianing, 2022. "Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: A hierarchical Stackelberg game," Energy, Elsevier, vol. 249(C).
    5. Jiang, Aihua & Yuan, Huihong & Li, Delong, 2021. "Energy management for a community-level integrated energy system with photovoltaic prosumers based on bargaining theory," Energy, Elsevier, vol. 225(C).
    6. Yun, Yunyun & Zhang, Dahai & Yang, Shengchun & Li, Yaping & Yan, Jiahao, 2023. "Low-carbon optimal dispatch of integrated energy system considering the operation of oxy-fuel combustion coupled with power-to-gas and hydrogen-doped gas equipment," Energy, Elsevier, vol. 283(C).
    7. Yuanyuan, Zhang & Huiru, Zhao & Bingkang, Li, 2023. "Distributionally robust comprehensive declaration strategy of virtual power plant participating in the power market considering flexible ramping product and uncertainties," Applied Energy, Elsevier, vol. 343(C).
    8. Wang, Xuejie & zhao, Huiru & Lu, Hao & Zhang, Yuanyuan & Wang, Yuwei & Wang, Jingbo, 2022. "Decentralized coordinated operation model of VPP and P2H systems based on stochastic-bargaining game considering multiple uncertainties and carbon cost," Applied Energy, Elsevier, vol. 312(C).
    9. 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).
    10. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
    11. 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.
    12. Wei, Xuan & Xu, Yinliang & Sun, Hongbin & Bai, Xiang & Chang, Xinyue & Xue, Yixun, 2024. "Day-ahead optimal dispatch of a virtual power plant in the joint energy-reserve-carbon market," Applied Energy, Elsevier, vol. 356(C).
    13. Lin, Xiaojie & Lin, Xueru & Zhong, Wei & Zhou, Yi, 2023. "Predictive operation optimization of multi-energy virtual power plant considering behavior uncertainty of diverse stakeholders," Energy, Elsevier, vol. 280(C).
    14. Jin, Xiaolong & Wu, Qiuwei & Jia, Hongjie, 2020. "Local flexibility markets: Literature review on concepts, models and clearing methods," Applied Energy, Elsevier, vol. 261(C).
    15. Gao, Hongchao & Jin, Tai & Feng, Cheng & Li, Chuyi & Chen, Qixin & Kang, Chongqing, 2024. "Review of virtual power plant operations: Resource coordination and multidimensional interaction," Applied Energy, Elsevier, vol. 357(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. 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. 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).
    3. Wang, Lu & Gu, Wei & Wu, Zhi & Qiu, Haifeng & Pan, Guangsheng, 2020. "Non-cooperative game-based multilateral contract transactions in power-heating integrated systems," Applied Energy, Elsevier, vol. 268(C).
    4. 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).
    5. 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).
    6. 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).
    7. Gao, Jin & Shao, Zhenguo & Chen, Feixiong & Lak, Mohammadreza, 2024. "Robust optimization for integrated energy systems based on multi-energy trading," Energy, Elsevier, vol. 308(C).
    8. Xiyao Gong & Wentao Huang & Jiaxuan Li & Jun He & Bohan Zhang, 2024. "P2P Optimization Operation Strategy for Photovoltaic Virtual Power Plant Based on Asymmetric Nash Negotiation," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    9. Guo, Zhilong & Xu, Wei & Yan, Yue & Sun, Mei, 2023. "How to realize the power demand side actively matching the supply side? ——A virtual real-time electricity prices optimization model based on credit mechanism," Applied Energy, Elsevier, vol. 343(C).
    10. 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).
    11. Gao, Minkun & Xiang, Leijun & Zhu, Shanying & Lin, Qichao, 2024. "Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading," Renewable Energy, Elsevier, vol. 237(PD).
    12. Karim L. Anaya & Michael G. Pollitt, 2021. "How to Procure Flexibility Services within the Electricity Distribution System: Lessons from an International Review of Innovation Projects," Energies, MDPI, vol. 14(15), pages 1-26, July.
    13. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    14. Benedikt Finnah, 2022. "Optimal bidding functions for renewable energies in sequential electricity markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 1-27, March.
    15. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    16. 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).
    17. Doumen, Sjoerd C. & Nguyen, Phuong & Kok, Koen, 2022. "Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    18. Fatemeh Marzbani & Akmal Abdelfatah, 2024. "Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review," Energies, MDPI, vol. 17(3), pages 1-31, January.
    19. Gao, Xianhui & Wang, Sheng & Sun, Ying & Zhai, Junyi & Chen, Nan & Zhang, Xiao-Ping, 2024. "Low-carbon energy scheduling for integrated energy systems considering offshore wind power hydrogen production and dynamic hydrogen doping strategy," Applied Energy, Elsevier, vol. 376(PA).
    20. Zhu, Yilin & Xu, Yujie & Chen, Haisheng & Guo, Huan & Zhang, Hualiang & Zhou, Xuezhi & Shen, Haotian, 2023. "Optimal dispatch of a novel integrated energy system combined with multi-output organic Rankine cycle and hybrid energy storage," Applied Energy, Elsevier, vol. 343(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:eee:energy:v:309:y:2024:i:c:s0360544224027580. 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.