Game optimization research of integrated energy system based on the Kriging meta-model with multi-market coupling

被引:0
|
作者
Zhang, Jinliang [1 ]
Hu, Zeping [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-market coupling; Hydrogen-carbon trading; Integrated energy system; Kriging meta-model; Master-slave game model; Hydrogen fuel vehicle;
D O I
10.1016/j.energy.2025.135596
中图分类号
O414.1 [热力学];
学科分类号
摘要
As part of the "dual carbon" objectives, using excess clean energy to electrolyze water and produce hydrogen is crucial to achieving zero carbon emissions in the energy and power industries. The markets for hydrogen, carbon, and green certificates display significant interconnections. This study suggests a coordinated optimization model for integrated energy systems under multi-market coupling to facilitate the deep integration of hydrogen and carbon. Firstly, investigate the interactive relationship between hydrogen trading, CCER trading, green power certificate trading, and carbon trading mechanism, which will contribute to accurately quantifying the dispatch costs of each unit under the guidance of the coupled market mechanism. Secondly, a game optimization model for integrated energy systems is created, with hydrogen sales operators as leaders and hydrogen sales companies and customers as followers. Finally, the enhanced Kriging meta-model is employed to precisely simulate the price response patterns of hydrogen trading operators and resolve the master-slave game model. The results of the case study analysis show that the model can deeply integrate hydrogen, carbon, and green certificate markets via carbon and hydrogen prices. This integration can lead to improved economic and low-carbon functioning of integrated energy systems.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Distributed Multi-energy Dispatching of Community Integrated Energy System Based on Stackelberg Game
    Chen, Guangyuan
    We, Huaiyu
    Hu, Mian
    Chen, Yang
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 1337 - 1342
  • [42] Multi-objective robust dynamic pricing and operation strategy optimization for integrated energy system based on stackelberg game
    Zhao, Yuyang
    Wei, Yifan
    Tang, Yifan
    Guo, Yingjun
    Sun, Hexu
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 83 : 826 - 841
  • [43] Improved electrical coupling integrated energy system based on particle swarm optimization
    Wang L.
    Energy Informatics, 2024, 7 (01)
  • [44] Research on Multi-Energy Integrated Ship Energy Management System Based on Hierarchical Control Collaborative Optimization Strategy
    Ren, Yuanjie
    Zhang, Lanyong
    Shi, Peng
    Zhang, Ziqi
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [45] Efficient Reliability-Based Design Optimization of Degrading Systems Using a Meta-Model of the System Reliability
    Savage, Gordon J.
    Son, Young Kap
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2020, 27 (06)
  • [46] Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy
    Xu, Xun
    Shao, Zhenguo
    Chen, Feixiong
    Cheng, Guoyang
    ENERGY, 2024, 303
  • [47] Capacity and operation joint optimization for integrated energy system based on Nash bargaining game
    Wang, Haiyang
    Li, Ke
    Zhang, Chenghui
    Chen, Jianfei
    ENERGY, 2024, 305
  • [48] A Stackelberg game-based approach to transaction optimization for distributed integrated energy system
    Wang, Yongli
    Liu, Zhen
    Wang, Jingyan
    Du, Boxin
    Qin, Yumeng
    Liu, Xiaoli
    Liu, Lin
    ENERGY, 2023, 283
  • [49] Research on the Joint Planning Method of Electricity-gas Integrated Energy System Based on Multi-Agent Game
    Yang N.
    Huang Y.
    Dong B.
    Xin P.
    Liu S.
    Ye D.
    Li H.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (22): : 6521 - 6532
  • [50] A multi-objective optimization method based on an adaptive meta-model for classroom design with smart electrochromic windows
    Xu, Yizhe
    Yan, Chengchu
    Yan, Shanhui
    Liu, Huifang
    Pan, Yan
    Zhu, Faxing
    Jiang, Yanlong
    ENERGY, 2022, 243