Research On Electricity Price Game Model Based On Clean Energy Consumption

Clean energy conforms to the trend of development and is gradually replacing highly polluted fossil energy.The vigorous development of wind power and photovoltaics has brought a new round of energy mode conversion to the power industry,injecting strong development momentum.The problem of large randomicity and strong dispersion of clean energy power generation makes it difficult to completely absorb this part of electricity,and there is a general phenomenon of wind abandonment and light abandonment.At present,the current situation of thermal power as the main source of power generation remains unchanged.Clean electricity needs to rely on electricity price incentive strategy to promote demand growth in the electricity user to achieve absorption.Clean energy consumption has a strong timeliness,which is essentially a process of demand response.To seek the balance between electricity price and electricity demand by price incentive is essentially a decision-making process of the optimal electricity price scheme.Based on the game theory,this thesis studies the cooperation and competition between individuals and groups within the two groups of power suppliers and users,establishes different game models,and explores pricing decisions to enhance demand response and promote energy consumption under different relationships,so as to improve the utilization rate of clean energy,indirect energy conservation and emission reduction,and promote peak-valley balance and supply-demand level of power market,at the same time improve the profits of power suppliers.The research results of this thesis have a certain practical value for the reform of China's electricity market,the rational development and utilization of clean energy and the promotion of demand side response.The main research work of this thesis is as follows:First,considering the direct impact of the number of users on the timeliness of real-time pricing decisions,users are divided into distinct groups.According to the life cycle theory,this thesis uses the age of the head of household as a hierarchical characteristic parameter to fit the expected return of the group and the electricity consumption data,which reflects the difference of the demand response of the users to different electricity price decisions hierarchically.The feasibility of the method is verified by the simulation results.Secondly,considering the competition and cooperation among multiple power suppliers,a non-cooperative master-slave game model and a cooperative game model are established to compare the impact of the two models on clean energy consumption,and to study the impact of power supplier's strategy selection on demand response.Considering the randomness of global solution,a distributed algorithm is used to solve the problem.The conclusion is verified by simulation.Thirdly,considering the relationship and transformation between competition and cooperation between clean power suppliers and user groups,this thesis first studies the two-stage master-slave game between power suppliers and users,and then studies the impact of revenue micro-shifting strategy on clean energy absorption,and explores strategies to enhance demand response.The conclusion is validated by simulation analysis model when photovoltaic,wind and hybrid clean energy power supply.