An electricity-carbon joint market optimization model for coal-fired power system under China's "dual-carbon" target

被引:3
|
作者
Feng, Sida [1 ]
Zhang, Xingping [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China
基金
中国国家自然科学基金; 中国国家社会科学基金;
关键词
Energy and ancillary service market; Carbon emission trade market; Peaking compensation mechanism; Large-scale variable renewable energy; Coal-fired power system; PEAK REGULATION; WIND POWER; BENEFITS; DISPATCH;
D O I
10.1016/j.jclepro.2023.138746
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the process of low-carbon transformation of power system in China, providing enough flexible service from coal-fired power units (CFPUs) is one of the most crucial answers to reduce or even avoid the operation risk which is caused by large-scale expansion of variable renewable energy (VRE). To spur CFPUs release flexibility, this paper suggests a two-stage optimal model, taking into account various peaking compensation mechanisms (VPCM) in a day-ahead power and carbon emissions trade (CET) joint market. Pre-clearing is the first stage, which maximizes social welfare, and formal clearing is the second stage, which maximizes the profit of the coal-fired power system. In contrast to the existing fixed peaking compensation mechanism (FPCM), the variable and fixed costs associated with providing peaking regulation are calculated by the VPCM. In addition, the work considers the CET market as an external carbon emissions constraint and internal constraint and no constraint are set to study the effectiveness of the current CET market. The result indicates that the VPCM can adapt more successfully to the cost of CFPUs when providing peaking regulation and increase the profit of the coal-fired power system. Then, "VPCM + external carbon constraint" enables larger profits for coal-fired power systems, whereas "FPCM + internal carbon constraint" stimulates VRE integration and reduces carbon emissions. Finally, the current CET market mechanism is insufficient to support coal-fired power plants in reducing carbon emissions as VRE rises.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] A two-stage bi-level electricity-carbon coordinated optimization model for China's coal-fired power system considering variable renewable energy bidding
    Feng, Sida
    Zhang, Xingping
    Zhang, Haonan
    Ju, Liwei
    Zhang, Xinyue
    [J]. Energy, 2024, 312
  • [2] Tracking the carbon footprint of China's coal-fired power system
    Gao, Tong
    Jin, Pengfei
    Song, Dan
    Chen, Bin
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2022, 177
  • [3] Simulation study on carbon emission of China's electricity supply and demand under the dual-carbon target
    Wen, Lei
    Diao, Peixin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 379
  • [4] Review on Market Mechanism to Enhance the Flexibility of Power System Under the Dual-carbon Target
    Wu, Zhaoyuan
    Zhou, Ming
    Wang, Jianxiao
    Tang, Wenyuan
    Yuan, Bo
    Li, Gengyin
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (21): : 7746 - 7763
  • [5] Electricity-Carbon Joint Trading of Virtual Power Plant with Carbon Capture System
    Liu, Dan
    Xiao, Fan
    Wu, Junzhao
    Ji, Xiaotong
    Xiong, Ping
    Zhang, Mingnian
    Kang, Yiqun
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2023, 2023
  • [6] Incentive Bidding Strategies for Power Generator in the Electricity-carbon Joint Market
    Chen, Yun
    Zhou, Min
    Zhao, Wenkai
    Wang, Jiayu
    Peng, Jiawen
    Han, Dong
    [J]. Dianwang Jishu/Power System Technology, 2024, 48 (09): : 3564 - 3573
  • [7] The carbon reduction puzzle in stock market: Evidence from China's "Dual-Carbon Target"
    You, Mingyuan
    Liu, Peizhi
    [J]. APPLIED ECONOMICS LETTERS, 2023,
  • [8] Understanding China's electricity market reform from the perspective of the coal-fired power disparity
    Mou, Dunguo
    [J]. ENERGY POLICY, 2014, 74 : 224 - 234
  • [9] A carbon oxidation factor regression model of coal-fired power plants in China
    Wu, Handong
    Han, Wei
    Wang, Dandan
    Gao, Lin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 4403 - 4411
  • [10] A CVaR-based coal inventory optimization model for coal-fired power plants in electricity market environment
    Yang, Jiajia
    He, Yang
    Zou, Bo
    Shang, Jincheng
    Li, Wenqi
    Wen, Fushuan
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, 38 (04): : 51 - 59