Energy Pricing And Bidding Method Based On Stackelberg Game

Under the background of energy Internet,with the vigorous promotion of comprehensive energy system optimization,in the operation optimization of the comprehensive energy department in the park,Research on pricing of Energy transactions between Integrated Energy System operators(IESO)and Energy users(EU)has attracted much attention.At the same time,with the further opening of the power market,it has become an inevitable trend for operators of the park to participate in market transactions.The corresponding bidding strategy is worthy of discussion,so it is of great significance to study the pricing and bidding method under the premise of optimizing bilateral benefits.The method of game theory in economics has become an important means to solve the problem of economic optimization,so this paper makes the following research:First of all,to the park integrated energy system energy operating each participation main body,the park energy operators,users and network analysis model,external energy park including various mathematical model of the energy production,conversion,storage devices,and the external network interaction model and user model,and its working principle were briefly reviewed in this paper,the,It lays a foundation for the modeling of electricity sales in the energy system of the park in Chapter 3 and 4 of this paper.Meanwhile,it introduces the theoretical basis of game theory,elaborates the principle of Stackelberg game,and establishes the standard model of Stackelberg game,which establishes a basic idea for solving the electricity sales strategy of the energy system of the park in Chapter 3 and 4 of this paper for users in the park and the market.Secondly,a pricing model of park operators based on Stackelberg two-layer game is proposed.The upper layer optimizes the energy price of operators,while the lower layer optimizes the user load curve.In the operator model,Power to Gas(P2G)technology is considered,and P2G can promote flexible demand response of multi-types of energy.The two-level game model of trade price and volume in the park can effectively output the optimal real-time electricity price and the optimal energy demand on the same day on the premise of taking into account the benefits of both the park operators and users.NSGA-II algorithm is proposed to solve the two-layer game model,which can quickly converge and obtain the optimal Nash equilibrium point of price and volume between operators and users in a certain state,providing a feasible solution for the pricing problem of operators in the park.At the same time,it is discussed that with the participation of P2G technology,there is a negative correlation between the gas purchase volume in the park and the P2G power curve,which proves that P2G technology optimizes the operator's benefit in the game model.Finally,based on a Stackelberg double game park operators to participate in bidding model of market interaction,upper to spread profit maximization as the goal to optimize operators bidding price and quantity,the lower the minimum market day running cost as the objective optimization of electric power market clearing result,operators involved in the market model is established,power market clearing model,The radial topological model of the power market and the linear branch flow model are used to calculate the power flow,and the equilibrium constrained programming problem(MECP)is transformed into linear programming problem(MILP).Finally,an integrated energy system operator,IESO and IEEE33 node distribution network system co-simulation is constructed for the example.The analysis of the results shows that the bidding model can effectively output the power market clearing results and operators' bidding schemes.