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