Research On Optimal Dispatch Of Integrated Energy Systems Considering Demand-response Subsidy Pricing

As the energy crisis continues to intensify and the structure of demand gradually changes,the mode of energy production and consumption has undergone a major change,which requires changing the construction path and development mode of the traditional energy system and building the integrated energy system.With the development of gas turbine and power-to-gas technology,the coupling between power system and natural gas system becomes more and more close.Integrated electricity-gas system is the focus of this dissertation.For an energy conversion equipment,it usually has different conversion efficiencies under different operating states.The simplified setting of conversion efficiency as a constant is not conducive to the accurate solution of the optimization of integrated energy system.In addition,demand response,as a flexible means of regulation,is of great value for realizing multi-party win-win situation and ensuring stable economic operation of the system by setting appropriate subsidy prices and designing an appropriate optimal scheduling strategy in the process of demand response.Thus,this dissertation studies the optimal scheduling of the integrated energy system considering the subsidy pricing of demand response.The specific research contents are as follows.(1)Considering the variable efficiency characteristics of the key energy conversion equipment,the equipment and network model of the integrated energy system is constructed,and based on this,the economic optimal scheduling model of the integrated energy system is established.Based on the variable efficiency model of the key coupling equipment,a variable efficiency coupling model of integrated energy system is designed on the basis of piecewise linearization and traditional energy hub model.The network models of power subsystem and natural gas subsystem are established respectively.An optimal scheduling model of integrated energy system considering operation economy is established.The simulation results show that the variable efficiency characteristics and the setting of segment number have important effects on the scheduling results.(2)To solve the problem of reasonable subsidy pricing for electricity and gas in demand response,a demand response subsidy pricing method based on Stackelberg game for integrated energy system is proposed.In the integrated energy system,the operating cost and benefit models of the parties in demand response are established.By analyzing the asymmetrical dynamic game relationship among all parties in the demand response process,a subsidy pricing model based on Stackelberg game is proposed,which includes the upper level pricing strategy and the lower level response strategy.Particle swarm optimization algorithm is used to solve the game equilibrium when all parties are pursuing their optimal goals.The simulation results show that the proposed method can achieve a multi-party win-win situation,and the influence of energy price and user response volume on subsidy prices for electricity and gas are analyzed.(3)Based on the game pricing method,an intra-day rolling optimal scheduling strategy for integrated energy system is proposed.Considering the uncertainty of renewable energy output,the basic framework of rolling optimal scheduling is established.Considering the different scheduling characteristics on supply and demand,the unit commitment obtained from day-ahead scheduling is used as the known input of rolling optimal scheduling.Combined with the demand response subsidy pricing method,and the rolling optimal scheduling model of integrated energy system based on demand response subsidy pricing is constructed.The simulation results show that the proposed scheduling strategy can reduce the influence of uncertain factors on the performance of the optimization results as much as possible,and maintain the balance between supply and demand.