Interactive Optimization of Day-ahead Market Trading Considering Coupling of Carbon-green Certificate-renewable Electricity Consumption Market
With the goal of"carbon peaking and carbon neutrality",the process of carbon reduction in the power industry has been accelerated.The carbon emissions trading,the green certificate trading and the excessive renewable electricity consumption trading have become important market instruments to reduce carbon emissions and promote the development of new power systems.First of all,based on the bilateral centralized bidding,this paper establishes a power energy market trading mechanism considering the coupling of the carbon-green certificate-renewable electricity consumption market with the participation of thermal power,wind power,photovoltaic enterprises and power users.Secondly,a hierarchical iterative interactive transaction optimization model is constructed by taking into account the optimal goals of the market members'benefits and the social welfare of the electricity markets.Finally,the alternating direction multiplier method is used for iterative solution and the impact of the carbon quota benchmark,the green certificate ratio and the renewable electricity consumption trading prices on the electricity market clearing results and the proceeds from generators and users'costs are analyzed on the IEEE-30 node system.The results show that the power energy market trading mechanism considering the coupling of carbon-green certificate-renewable electricity consumption market is able to significantly reduce the carbon emissions of the thermal power companies compared with the single energy market trading mechanisms.Meanwhile,the mechanism can improve the wind power and photovoltaic enterprises to win the power bids,incentivize users to track the new energy output of the system and mitigate systematic wind and light abandonment.
国家科技期刊平台
NSTL
万方数据
维普
