Simulation Research On Green Energy Trading Market Under Multi-period Tradin

In September 2020,China set the goals of "peak carbon emissions" by 2030 and "carbon neutrality" by 2060.Prior to this,China implemented a Feed-in Tariff(FIT)and Renewable Portfolio Standard(RPS)to accelerate the development of renewable energy power industry.In 2017,China issued green power certificates for the first time,gradually transforming the Chinese power market from a fossil energy supply market to a mixed energy supply market,with renewable energy and green energy becoming increasingly important power supply sources in China.Currently,research on China’s current green energy power trading and consumption has made some progress.However,existing studies have not fully explored or focused on the utility of renewable energy systems that are more closely related to the current state of affairs,making the effectiveness of the quota system not fully analyzed.This paper focuses on the following research works:(1)Addressing the problem of insufficient exploration of the real situation of the green energy electricity market under multi-period transactions involving policy changes in renewable energy power research.By using the ABM modeling method,the time scale of green energy trading and the audit time scale are improved,and quota fines are introduced.Based on the policy changes,a trading mechanism for estimating the difference in bilateral value between buying and selling is proposed and the model’s rationality is compared and validated with actual data.By analyzing different trading strategies and penalty scenarios,it is shown that mixed risk strategies can reflect the real state of the green certificate market.(2)Addressing the issue of regional regulation in the power system.Based on the above model,the ARIMA model is used to predict China’s power energy development data,and five categories of regional attributes are designed to construct a green energy trading simulation system based on regional differences.Simulation results show that under the guidance of dynamic fines,the quota subsidy conversion.