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Research On User’s Decision-making Method And Electricity-gas Joint Planning Method Under The Background Of Comprehensive Energy Use Behavior

Posted on:2022-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y J WangFull Text:PDF
GTID:2492306521956009Subject:Electrical engineering
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In recent years,as environmental problems such as climate warming caused by excessive dependence on fossil energy have become more severe,the shortcomings of China’s energy system have become prominent.How to break the traditional energy development system and improve its comprehensive utilization efficiency is of great practical significance.Therefore,the integrated energy system came into being.At the present stage,with increasingly diversified forms of people’s energy consumption in the integrated energy market,for the integrated energy system,different forms of heterogeneous energy will form a new coupling node on the user side with human energy use as the link.Under the above background,studying user’s choice of different forms of energy and electricity-gas joint planning method have great theoretical and practical significance for the planning and operation of the future integrated energy system.Thus,based on the characteristics of user-side energy use,this paper focuses on the method of user utility index system construction,method of users’ integrated energy use behavior based on the evolutionary game under the comprehensive environment of energy use,and the electricity-gas joint planning method based on complete information dynamic game.The main work are as follows:1)According to user’s energy usage,firstly,this paper introduces the current research methods of user-side comprehensive energy use behavior,the evaluation methods of IES index.And influencing factors of user’s choice of energy suppliers,the evaluation of index system are also analyzed.Secondly,according to the characteristics of users’ energy use,the user utility index system is put forward,which is divided into three dimensions,such as economy,society and safety benefits.On this basis,the combination of subjective and objective weighting method is used to build the user utility model.It effectively guarantees the rationality and accuracy of user utility evaluation,which provides the leading research and theoretical support for studying the dynamic decision-making methods between users and different energy types in chapter three.2)On the basis of the above research,aiming at users’ diversified energy consumption requirements,this paper deeply considers the dynamic consumption process of users choosing different types of energy suppliers,and an analysis method of users’ integrated energy use behavior based on the evolutionary game is proposed.First,user utility is continuously updated for the three types of user groups;then based on the Logit function,the dynamic evolution equation between users and energy suppliers is constructed and the model is solved by the distributed iterative solution method.The validity and correctness of the proposed method is verified by simulation results.Through the study of dynamic decision-making process between users and energy types,this chapter realizes the in-depth understanding of energy demand on the user side,and provides references for energy suppliers to formulate reasonable pricing strategies.3)Based on energy characteristics of the user side,the electricity-gas joint planning method based on complete information dynamic game is proposed for the source-network side.Firstly,the planning income model is built for each subject in electricity grid and natural gas network.Then the multi-agent game model is built,and the iterative search method is used to solve the problem.From the perspective of individual rationality,this method takes into account the interests of the three market subjects through dynamic game process of real-time interaction of decision-making information of all parties,ensuring the rationality of the decision-making scheme and realizing the improvement of energy market vitality at the same time.
Keywords/Search Tags:evolutionary game, decision of energy use behavior, utility model, complete information dynamic game, electricity-gas joint planning
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