Research On Clearing Mechanism Of New Energy Power Spot Market Considering Carbon Emission Factors

With the proportion of wind power,photovoltaic and other new energy sources in the traditional power grid increasing year by year,the problem of abandoning wind power and photovoltaic is becoming increasingly prominent,and the goal of ’carbon peak and carbon neutralization ’needs to take environmental benefits into consideration.In view of the above problems,in addition to improving the level of predictive control,it is necessary to build a reasonable electricity spot market trading mechanism,and use price signals to guide the clearing of electricity commodities.While improving the economic benefits of each subject in the power market,it reduces the rate of wind power and photovoltaic abandonment,improves environmental benefits,and ensures the safe and reliable operation of the power grid.Therefore,this thesis studies the generation right trading strategy to improve the penetration rate of new energy.On this basis,a new energy power spot market clearing model is established considering carbon emission factors.The main research contents are as follows:1.An optimization model of power generation right trading based on comprehensive performance is proposed.The model for evaluating the performance of trading entities introduces the concept of relative entropy.When evaluating,factors such as declared electricity price,coal consumption,carbon emissions and soot are considered.The performance of each trading entity is comprehensively evaluated while taking into account the benefits of energy conservation and emission reduction.The proposed model is compared with the traditional optimization model considering carbon and green certificate transactions.Case study is analyzed with the data of power generation right transaction in a certain area of northwest China,and proved that the proposed model can improve the penetration rate of new energy to a certain extent and increase the income of energy saving and emission reduction by 4.7%.2.The carbon emission index is incorporated into the electricity market trading mechanism,and a new energy regional electricity spot clearing model considering carbon emission reward and punishment factors is proposed.According to the principle of environmental regulation,carbon emission rewards and punishments are used as market interventions to enhance new energy consumption.With the goal of maximizing social welfare,the original system is clustered by the improved K-means algorithm to form a regional clearing model,which greatly simplifies the traditional locational clearing calculation process.The new energy access data of a certain place in western China is introduced into the IEEE118 bus system for verification.The results show that the relative error between the model and the locational marginal clearing model is small and in line with the actual situation,while the improved K-means algorithm further reduces the relative error between the clearing result and the locational marginal clearing model by about 1.7%.3.For the regional power system created in this thesis,a transmission pricing and clearing method for inter-regional transactions considering congestion is proposed.Among them,transmission pricing includes network loss discount and over-investment penalty fund constructed to reduce over-investment and inefficient investment.Through the spot market to achieve full power centralized competition,with the goal of maximizing social welfare,a crossregional spot trading optimization clearing model of regional surplus new energy is proposed,further improve the level of new energy consumption.By comparing and analyzing the crossregional transaction results and social welfare with the traditional matching clearing model,verified the effectiveness and strong generalization ability of the proposed optimized clearing model,which plays a supporting role in the development of other cross-regional inter-provincial spot markets.