Research On Demand Response Game Model Considering Wind Power Consumption

With the increasingly prominent energy and environmental issues,wind power construction has developed rapidly.However,due to the inverse peak regulation characteristics of wind power and insufficient local consumption level,the phenomenon of wind abandonment is more serious,and there is room for further improvement in the utilization efficiency of clean energy.With the intellectualization of power grid and load equipment,the demand side has larger demand response potential.In this paper,a reasonable and efficient demand response mechanism have been researched.The study of game strategy and optimization is of great significance for optimizing the level of renewable energy consumption and improving social welfare.Therefore,this paper utilizes game theory in a regional grid that includes distributed wind power,and establishes a day-ahead response scheduling model based on price demand response and a real-time game scheduling model based on incentive demand response.The main work of this paper is as follows:(1)The mechanisms of incentive demand response and pricing demand response are studied and the corresponding response models of users are researched.Secondly,the load curve characteristics and energy consumption preferences of different industries are analyzed,as well as the industry characteristics and energy consumption preferences of different industry loads.Then,the boundary conditions of different game theory models are described.From the perspectives of policies,pricing power and user behavior,the typical game theory models corresponding to different application scenarios are studied,which provides theoretical basis of subsequent research.(2)A day-ahead demand response model based on game real-time electricity prices is proposed.A dynamic game model is established with the grid operators as the leader and users as the follower.Establish a user energy demand preference model and solve the model by combining genetic algorithm and reverse induction method.Analyze the changes in wind power consumption levels before and after the response and analyze the cost-effectiveness changes of grid operators and responding users.The example analysis shows that the day-ahead demand response model considering game theory effectively guides users to shift the peak load to lowload periods,and the response has a small impact on the overall benefit of the user,but can effectively reduce the power generation costs of traditional units and optimize the operator’s operating expenses.Structure,research and analysis of the impact of different electricity price guide intervals on the improvement of abandoned wind levels.(3)A bi-level real-time game scheduling model based on the incentive mechanism is establied.The upper-level game model includes grid operator and the load aggregator,the lower-level game model includes load aggregators and end users.The benefit function,strategy set and stackelberg game have been studied.The firefly algorithm is used to solve the model,and the convergence speed is faster.Example analysis shows that the model can effectively reduce the operator’s implementation cost and can make the load aggregator have a higher gross profit,maintain the enthusiasm of the aggregator to participate in the response.In addition,in the stackelberg game model,industrial companies with lower production efficiency and endusers with lower marginal benefits have higher response priorities.Moreover,in the scenario where operators have price power,the implementation cost of operators’ response is greatly affected by the scale of demand resource supply,and the refusal of demand-side game players will increase the cost of grid operator.