Game analysis and optimization research on power structure under carbon emissions

被引:0
|
作者
Dong, Fugui [1 ]
Jiang, Shan [1 ]
Zhang, Wen [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
基金
国家重点研发计划;
关键词
FEED-IN TARIFF; WIND POWER; ELECTRICITY; SYSTEM;
D O I
10.1063/5.0048183
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the installed capacity of renewable energy continues to increase, the proportion of China's renewable energy power generation has increased year by year, and carbon emissions have been effectively reduced. However, there is still a big gap between this and China's promised carbon emission reduction target. It is important to explore the coordination and optimization of power supply structure with the goal of carbon emission reduction. In the power market environment, there are conflicts of interest among wind power companies, thermal power companies, and energy storage equipment. Therefore, it is necessary to comprehensively consider their economic and environmental benefits to formulate subsidy policies. In order to solve the above problems, this paper studies the key issues of smart grid operation model, input-output efficiency, market game behavior, and policy effect simulation based on production simulation, game theory, statistics, and other theories. Finally, Matlab and Gridview were used to calculate the model results, and policy recommendations on wind power subsidies, thermal power carbon tax, and thermal power feed-in tariff were put forward. To achieve the goal of carbon emission reduction, renewable energy generation should be encouraged, and the proportion of installed capacity of wind and solar energy in the power structure should be increased. The most effective way is that the government should actively guide the subsidy mechanism into the electricity trading market. Based on the calculation results of the RTS-25 system in this article, the following policy recommendations can be put forward: within the government's financial capacity, at least 1 yuan per kilowatt-hour of wind power subsidy is provided, and the maximum of thermal power feed-in tariff is set at 0.7 yuan, and the higher the wind power subsidy and the lower the feed-in tariff of thermal power, the higher the carbon emission reduction. At the same time, a thermal power carbon tax of about 0.36 yuan per kilowatt-hour should be set. The results of this study can provide suggestions for consuming renewable energy and formulating competition rules in power market transactions. This article can be further studied. The scope of subsidy prices can be narrowed, and more precise subsidy prices that balance the benefits of various systems can be determined on the basis of this research.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Minimizing Wind Power Curtailment and Carbon Emissions by Power to Heat Sector Coupling-A Stackelberg Game Approach
    Bashir, Arslan Ahmad
    Lund, Andreas
    Pourakbari-Kasmaei, Mahdi
    Lehtonen, Matti
    IEEE ACCESS, 2020, 8 : 211892 - 211911
  • [42] The stochastic optimization scheduling model for wind power, thermal power and hydropower with carbon emissions trading
    Electric Power Research Institute, CSG, Guangzhou
    510080, China
    不详
    Open. Cybern. Syst. J., 1 (1074-1082):
  • [43] Network evolutionary game analysis of green credit: A perspective of carbon emissions trading
    Li, Jingwei
    Li, Shouwei
    Zhang, Yonghong
    Tang, Xiaoyu
    MANAGERIAL AND DECISION ECONOMICS, 2024, 45 (03) : 1343 - 1362
  • [44] A Stochastic Dynamic Game of Carbon Emissions Trading
    Alain Haurie
    Laurent Viguier
    Environmental Modeling & Assessment, 2003, 8 : 239 - 248
  • [45] The Research of the Enterprise Cooperation Strategy under Different Carbon Emissions' Policies
    Wang, Dandan
    Mu, Dong
    Zhang, Qian
    2015 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS), 2015,
  • [46] A stochastic dynamic game of carbon emissions trading
    Haurie, A
    Viguier, L
    ENVIRONMENTAL MODELING & ASSESSMENT, 2003, 8 (03) : 239 - 248
  • [47] Game theoretic model for low carbon supply chain under carbon emissions reduction sensitive random demand
    Ma, Chao
    Huang, Fuyou
    Hu, Yongwen
    APPLIED MATHEMATICS AND NONLINEAR SCIENCES, 2022, 8 (02) : 1 - 18
  • [48] Typical calculation and analysis of carbon emissions in thermal power plants
    Gai, Zhi-jie
    Zhao, Jian-gang
    Zhang, Gang
    3RD INTERNATIONAL CONFERENCE ON ENERGY EQUIPMENT SCIENCE AND ENGINEERING (ICEESE 2017), 2018, 128
  • [49] Research on power source structure optimization for East China Power Grid
    Xu, Lingjun
    Sang, Da
    Zhang, Jianping
    Tang, Chunyi
    Xu, Da
    2017 INTERNATIONAL SYMPOSIUM ON RESOURCE EXPLORATION AND ENVIRONMENTAL SCIENCE (REES 2017), 2017, 64
  • [50] Customized passenger path optimization for airport connections under carbon emissions restrictions
    Liu, Song
    Feng, Shiyuan
    Wang, Yan
    Yu, Dennis Z.
    Jiang, Shan
    Ma, Xianting
    Peng, Yong
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2023, 11 (01)