Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

A Medium and Long Term Contract Trading Model for New Energy Units Based on Incomplete Information Game Theory

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342756,
        author={Chuang  Dong and Jie  Gao and Fanqi  Li and Wenbin  Zhang and Jianwei  Gu and Ping  Zhang},
        title={A Medium and Long Term Contract Trading Model for New Energy Units Based on Incomplete Information Game Theory},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={incomplete information game; medium and long-term contract transactions;  new energy units},
        doi={10.4108/eai.17-11-2023.2342756}
    }
    
  • Chuang Dong
    Jie Gao
    Fanqi Li
    Wenbin Zhang
    Jianwei Gu
    Ping Zhang
    Year: 2024
    A Medium and Long Term Contract Trading Model for New Energy Units Based on Incomplete Information Game Theory
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342756
Chuang Dong1, Jie Gao2, Fanqi Li3,*, Wenbin Zhang1, Jianwei Gu2, Ping Zhang1
  • 1: PowerChina Northwest Engineering Corporation Limited
  • 2: China Renewable Energy Engineering Institute
  • 3: North China Electric Power University
*Contact email: ncepu_lfq@163.com

Abstract

Under the goal of carbon neutrality and carbon peaking, a high percentage of wind power and photovoltaics access to the power system. As China's power trading mechanism improves, new energy is encouraged to be consumed through participation in power trading. Under the centralized power market, the medium and long-term trading power accounts for more than 90% of all traded power. This paper is based on the characteristics of the contract trading in medium-term and long-term, and volatility of new energy output, to construct incomplete information game trading model of the new energy units and power users. At the same time, according to the power medium and long-term trading to form the requirements of the trading curve, selected a trading day in the monthly trading as the object, the trading day 24 hours of trading electricity and price of the game simulation analysis. The results show that the game method effectively improves the overall income of new energy units participating in contract trading, and the price formed by the game can better respond to the supply and demand relationship in the market.