Bidding strategy of the virtual power plant considering green certificates and carbon trading

被引:8
|
作者
Wang, Yong [1 ]
Wu, Xiaoman [2 ]
Liu, Mengchen [1 ]
Zhang, Chao [3 ]
Wang, Hui [1 ]
Yue, Yuanyuan [1 ]
Luo, Xuan [1 ]
机构
[1] State Grid Shaanxi Elect Power Co Ltd Res Inst, Xian 710000, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
[3] State Grid Shaanxi Elect Power Co Ltd, Xian 710049, Peoples R China
关键词
Virtual power plant; Green certificate; Carbon trading; Bidding strategy; Joint market;
D O I
10.1016/j.egyr.2023.04.042
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper examines the impact of green certificates and carbon trading on virtual power plants (VPPs) in the day-ahead energy and frequency modulation assistance service combined market. VPPs, which integrate numerous distributed energy systems and adjustable loads, provide a new idea for coordination management among multiple subjects in market competition. The study proposes a bidding strategy model to maximize VPP economic benefits, considering the interaction mechanism of green certificate-carbon trading and market environment constraints. The proposed model is verified through simulation cases, in which different scenarios of the existence of green certificates and carbon trading mechanism are considered. The impact of green certificates and carbon trading on VPP bidding benefits is explored, and the results show that VPPs have superiority compared to the traditional bidding output of a VPP. The availability of green certificates and carbon trading enables the economic income of VPPs to be more diversified and reflects the low-carbon attribute of the renewable energy system, thereby promoting the low-carbon transformation process of the VPP output structure. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:73 / 84
页数:12
相关论文
共 50 条
  • [21] Reward and penalty mechanism considering uncertain carbon emission's green certificates-carbon trading power planning
    Yang, Qiaoling
    Zhang, Boyan
    Bian, Hui
    Chen, Kai
    Duan, Jiaheng
    ELECTRICAL ENGINEERING, 2024,
  • [22] Optimal bidding strategy for multi-energy virtual power plant participating in coupled energy, frequency regulation and carbon trading markets
    Wu, QunLi
    Li, Chunxiang
    Bai, Jiayi
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 73 : 430 - 442
  • [23] Optimal scheduling strategy of virtual power plant with demand response and electricity-carbon trading considering multiple uncertainties
    Li D.
    Wang X.
    Shen Y.
    Jiang D.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (05): : 210 - 217and251
  • [24] Analysis of the joint trading of local green power certificates, carbon emissions rights, and electricity considering demand flexibility
    Li, Jifeng
    He, Xingtang
    Niu, Wei
    Liu, Xiangning
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [25] Bidding Strategy for Participation of Virtual Power Plant in Energy Market Considering Uncertainty of Generation and Market Price
    Khorasany, Mohsen
    Raoofat, Mahdi
    2017 SMART GRID CONFERENCE (SGC), 2017,
  • [26] Optimisation of the bidding strategy for wind power trading
    Hamilton, David I.
    McMillan, David
    Catterson, Victoria M.
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [27] Short-term trading and optimal operation strategy for commercial virtual power plant considering uncertainties
    Ma C.
    Dong C.
    Lü Z.
    Duan Q.
    Wang K.
    Ai X.
    Li Y.
    2016, Power System Technology Press (40): : 1543 - 1549
  • [28] Joint bidding strategy of multi-virtual power plant operators
    Du, Jiyu
    Zhao, Yi
    Sun, Wenyao
    Qian, Xiaoyi
    ENGINEERING REPORTS, 2024,
  • [29] Day Ahead Bidding Strategy for Virtual Power Plants Considering Sharpe Ratio
    Wang W.
    Wang X.
    Jiang C.
    Bai B.
    Zhang K.
    Dianwang Jishu/Power System Technology, 2023, 47 (04): : 1512 - 1522
  • [30] A study on the bidding strategy of the Virtual Power Plant in energy and reserve market
    Huy Nguyen-Duc
    Nhung Nguyen-Hong
    ENERGY REPORTS, 2020, 6 : 622 - 626