Bi-Level Carbon Trading Model on Demand Side for Integrated Electricity-Gas System

被引:28
|
作者
Yan, Zhichao [1 ]
Li, Chunyan [1 ]
Yao, Yiming [1 ]
Lai, Weibin [1 ]
Tang, Jiyuan [1 ]
Shao, Changzheng [1 ]
Zhang, Qian [1 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Sec, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated electricity-gas system; carbon trading; step-based carbon prices; competitive auction; benders decomposition; SCHEME;
D O I
10.1109/TSG.2022.3229278
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the exploration of deep decarbonization around the world, it has become a broad consensus that the carbon trading mechanism can promote the low-carbon operation of the energy system by exploring the underlying driver of emissions. The end-users, as the motivator of emission in the integrated electricity-gas system (IEGS), have not been developed so far to participate in the carbon market and help emissions abatement. This paper proposes a bi-level carbon trading scheme on demand side considering the energy consumption level of users and low-carbon demand response. In the upper-level market, an optimal step-based carbon prices customization model is built to impose differentiated incentives on users, thereby balancing the emission mitigation and social welfare. In the lower-level market, a carbon trading mechanism based on the competitive auction program is proposed, then an optimal carbon trading strategy is studied to maximize the consumer surplus and further motivate the low-carbon energy consumption. On the source side, a low-carbon dispatching model of IEGS considering the flexible carbon capture power plant and power-to-gas (CCPP-P2G) is established. Moreover, the Benders decomposition algorithm is used to solve the bi-level optimal model. Case studies verify the feasibility of carbon trading on demand side and demonstrate the environmental and economic benefits of the proposed bi-level carbon trading mechanism.
引用
收藏
页码:2681 / 2696
页数:16
相关论文
共 50 条
  • [41] Microgrid system allocation using a bi-level intelligent approach and demand-side management
    Bishwajit Dey
    Sourav Basak
    Biplab Bhattacharyya
    MRS Energy & Sustainability, 2023, 10 : 113 - 125
  • [42] Bi-Level Decomposition Approach for Coordinated Planning of an Energy Hub With Gas-Electricity Integrated Systems
    Ghasemi, Hosein
    Aghaei, Jamshid
    Gharehpetian, Gevork B.
    Shafie-Khah, Miadreza
    Catalao, Joao P. S.
    IEEE SYSTEMS JOURNAL, 2022, 16 (01): : 1529 - 1539
  • [43] Reliability-constrained distributionally robust expansion planning of integrated electricity-gas distribution system with demand response
    He, Chuan
    Zhou, You
    Liu, Xuan
    Nan, Lu
    Liu, Tianqi
    Wu, Lei
    ENERGY, 2025, 321
  • [44] A Decentralized and Robust Optimal Scheduling Model of Integrated Electricity-gas System for Wind Power Accommodation
    Guo Z.
    Li G.
    Zhou M.
    Wang J.
    Li, Gengyin (ligy@ncepu.edu.cn), 1600, Chinese Society for Electrical Engineering (40): : 6442 - 6454
  • [45] Feasible Operation Regions of Electricity-gas Integrated Energy Distribution System
    Liu, Liu
    Wang, Dan
    Meng, Zhengji
    Jia, Hongjie
    Wang, Weiliang
    Fan, Menghua
    2019 IEEE MILAN POWERTECH, 2019,
  • [46] Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System
    Yang, Lun
    Xu, Yinliang
    Zhou, Jianguo
    Sun, Hongbin
    IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (04) : 2730 - 2743
  • [47] Economic dispatch analysis of regional Electricity-Gas system integrated with distributed gas injection
    He, Gui-Xiong
    Yan, Hua-guang
    Chen, Lei
    Tao, Wen-Quan
    ENERGY, 2020, 201 (201)
  • [48] A Bi-Level Optimization Strategy for Regional Integrated Energy System Considering Correlation and Demand Response
    Xu, Xun
    Shao, Zhenguo
    Chen, Feixiong
    Li, Zhihuang
    2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE, 2023, : 488 - 493
  • [49] Bi-level Optimal Design of Integrated Energy System with Synergy of Renewables, Conversion, Storage and Demand
    Zhang, Lizhi
    Sun, Bo
    Li, Fan
    2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 1613 - 1618
  • [50] On the development of Bi-Level Integrated System Collaborative Optimization
    Min Zhao
    Weicheng Cui
    Structural and Multidisciplinary Optimization, 2011, 43 : 73 - 84