Low-carbon scheduling of CHP virtual power plant considering carbon market risk

被引:0
|
作者
Wang, Qiujie [1 ,2 ]
Qi, Hao [1 ,2 ]
Tan, Hong [1 ,2 ]
Wang, Hao [1 ,2 ]
Zhu, Yi [1 ,2 ]
Wang, Ping [1 ,2 ]
Li, Zhenxing [1 ,2 ]
机构
[1] Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, Yichang,443000, China
[2] College of Electrical and New Energy, China Three Gorges University, Yichang,443000, China
关键词
Heating equipment;
D O I
10.16081/j.epae.202404003
中图分类号
学科分类号
摘要
The heat-determined-power operation mode of coal-fired thermoelectric units will lead to insufficient absorption of new energy and produce excessive carbon emissions during operation. Therefore,a combined heat and power(CHP) virtual power plant model considering ground-source heat pump,power to gas (P2G) and carbon capture and storage(CCS) is established,and a low-carbon scheduling strategy for virtual power plant based on carbon market risk is proposed. The following-day carbon price of carbon market is predicted by using autoregressive moving average model and generalized autoregressive conditional heteroskedasticity model,and its fluctuation risk is measured by conditional value at risk model. The ground-source heat pump of electric heating equipment is introduced,and the heat-determined-power operation constraint of CHP is decoupled by the collaboration of P2G-CCS. An optimal scheduling strategy is proposed with the minimum sum of the operation cost of each equipment,the penalty cost of wind and photovoltaic abandonment and the risk cost of carbon trading and carbon market as the objective function. The example results show that the proposed scheduling strategy can not only promote the consumption of new energy and improve the economic benefits,but also reduce the carbon emission of the system. © 2024 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:8 / 15
相关论文
共 50 条
  • [31] The low-carbon economic operation strategy of virtual power plant under different electricity-gas-heat-carbon multi-market synergy scenarios
    Wan, Ximing
    Wen, Xuan
    Gong, Taorong
    Chen, Songsong
    Sun, Qinfei
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2023, 23 (04) : 2237 - 2254
  • [32] Low-carbon unit commitment with intensive wind power generation and carbon capture power plant
    Li, Jiaming
    Wen, Jinyu
    Han, Xingning
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2015, 3 (01) : 63 - 71
  • [33] Research on bidding strategy of virtual power plant considering carbon-electricity integrated market mechanism
    Liu, Xiaoou
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 137
  • [34] A low-carbon game-based job scheduling considering material transit
    Tian, Changle
    Zhou, Guanghui
    Chang, Fengtian
    Zhang, Junjie
    Wang, Chuang
    2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2018,
  • [35] Low-carbon scheduling strategy for electric vehicles considering carbon emission flow and dynamic electricity prices
    Hu, HouPeng
    Qian, Bin
    Xiao, YanHong
    Tang, JianLin
    Ou, Jiaxiang
    Lin, XiaoMing
    He, Peilin
    Zhang, Fan
    Frontiers in Energy Research, 2024, 12
  • [36] Analysis of low-carbon comprehensive energy system scheduling considering multiple uncertainties
    Wang, Lunjie
    Chen, Shuai
    Luo, Lin
    Cao, Yupeng
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2024, 26 (09) : 2919 - 2935
  • [37] Low-carbon economic dispatch of integrated energy system considering carbon trading mechanism and LAES-ORC-CHP system
    Zhou, Wei
    Sun, Yonghui
    Zong, Xuanjun
    Zhou, Hongwei
    Zou, Sheng
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [38] Risk Transmission in Low-Carbon Supply Chains Considering Corporate Risk Aversion
    Chen, Tingqiang
    Zhu, Ruirui
    Wang, Lei
    MATHEMATICS, 2024, 12 (13)
  • [39] Low-carbon distributionally robust optimal scheduling for AC/DC distribution network considering wind power uncertainty
    Xi J.
    Tong X.
    Li Z.
    Dong X.
    Yang M.
    Liu F.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (11): : 59 - 66
  • [40] Low-carbon generation expansion planning model incorporating carbon capture power plant
    Ji, Z. (jiz11@mails.tsinghua.edu.cn), 1600, Power System Technology Press (37):