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Research On Energy Management Optimization Of Integrated Energy System Based On Game Theory

Posted on:2024-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:S L ChangFull Text:PDF
GTID:2542307118976789Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Integrated energy system is a new energy system integrating modern information technology and multi-energy coupling,which can realize the organic coordination of different energy sources and effectively improve energy utilization efficiency.It is an effective means to solve the current energy and environmental crisis and achieve carbon peak and carbon neutrality.In the market-oriented environment of energy system,it is of great significance to discuss the influence of decision-making among the subjects through game theory and formulate the operation strategy of the integrated energy system that takes into account the interests of all subjects,in view of the situation that the conflicts of interest faced by the subjects in the integrated energy system are gradually increasing.The main work of this thesis is as follows:(1)The integrated energy system is divided into the operator and the load aggregator,and the optimization model is established respectively.The objective function of profit maximization is given to the operator,and the objective function of the load aggregator considering both the energy cost and the dissatisfaction is established by using the fuzzy dual objective algorithm,and the corresponding constraints of each subject are given.It lays a foundation for the strategy formulation of operators and load aggregators.(2)According to the competition relationship in the integrated energy system,a stackelberg game strategy is proposed to consider the energy conversion between supply and demand.On the energy supply side,in order to solve the problem of large loss of complete P2G(Power to Gas)reaction,a refined P2 G reaction is proposed,in which the intermediate product hydrogen is combined with fuel cells with higher energy conversion efficiency to meet load requirements.In addition,the heat recovery of P2 G is taken into account to share part of the heat load,reducing energy losses.On the demand side,traditional load adjustment mainly includes reduction and transfer.In order to fully stimulate the substitution potential of load energy,electric-heat and electric-gas energy conversion are proposed to reduce the energy cost.The two sides consider the mutual influence of each other’s strategies through the stackelberg game,and obtain the Nash equilibrium solution that is satisfactory to both source and load.The rationality of the proposed model is verified by an example analysis,the operators achieve better economic benefits,and the load aggregators can balance the energy purchase expenditure and energy use experience well.(3)For multiple integrated energy systems in the same region,a two-layer game strategy for multiple integrated energy systems is proposed to explore the potential for cooperation between operators.In the upper layer,operators and load aggregators within each system use a stackelberg game model to obtain the Nash equilibrium solution.Operators can formulate optimal energy prices,while loads can actively adjust energy consumption,and pass the load data corresponding to the upper-layer equilibrium solution to the lower layer.In the lower layer,operators aim to maximize overall alliance profits through cooperative game optimization of their power generation and energy exchange,reducing the amount of energy trade with the higherlevel grid.The Shapley value method is used to distribute the profits obtained,and the alliance stability is checked from the perspectives of overall rationality,super-additivity,and individual rationality.The case analysis shows that the two-layer game model for multiple integrated energy systems can not only ensure the interests of operators and load aggregators but also more effectively manage energy mobilization by operators.There are 26 figures,9 tables and 82 references in this thesis.
Keywords/Search Tags:optimal operation, stackelberg game, cooperative game, shapley-value
PDF Full Text Request
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