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Research On Optimal Scheduling And Game Strategy Of Integrated Energy System Considering Shared Energy Storage

Posted on:2024-03-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:G Y QinFull Text:PDF
GTID:1520306941458004Subject:Business Administration
Abstract/Summary:PDF Full Text Request
With the proposal of the dual carbon target,new energy storage technologies and business models are constantly being developed and improved,which will have a more profound impact on both the energy supply side and demand side models.As an important carrier of new energy storage technologies and business models,integrated energy system can integrate heterogeneous energy flows and can improve the characteristics of multi-energy complementarity on the energy supply side and demand response on the demand side,reducing the rate of renewable energy abandoned wind and photovoltaic,which is very important for responding to the strategic objectives of the 20th energy conference and constructing a novel power system.As a representative of new energy storage technology and business model,the participation of shared energy storage in the planning,operation and main benefit distribution of the integrated energy system is crucial to the safe,stable and efficient operation of the integrated energy system.At the same time,the operation of both the supply side and demand side of the integrated energy system has great uncertainty,which has a certain risk impact on the planning,operation and distribution of main body benefits of shared energy storage participating in the integrated energy system.Based on the background of constructing a novel power system,this dissertation researches the capacity allocation,optimal scheduling and the distribution strategy of the main body’s interests considering the participation of shared energy storage in the integrated energy system.Based on the analysis of the theory,policy and model of the integrated energy system and shared energy storage,a model of coordinated and optimal capacity allocation of shared energy storage and a two-layer optimal scheduling model in the integrated energy system are constructed.Finally,the game strategy of cooperative operation of multiple subjects in the integrated energy system considering shared energy storage is researched,and the main research contents and results of this dissertation include the following aspects:(1)Integrated energy system-related policies,demonstration projects and mathematical representation analysis of equipment.Firstly,it analyzes the related policies of integrated energy system,and analyzes and summarizes the domestic and foreign integrated energy system policy experience.Secondly,conducts the research on typical demonstration projects of integrated energy systems,summarizes and analyzes the domestic and foreign integrated energy system demonstration projects characteristics and advantages.and at the same time summarize and analyze the practical experience of integrated energy demonstration projects at home and abroad.Finally.give the mathematical representation of the equipment model of the heterogeneous energy flow of the integrated energy system,mainly including typical equipment mathematical representation on the supply side,load on the demand side and multi-energy coupling model,the equipment mainly includes distributed wind power,distributed photovoltaic,combined cooling-heat-electricity,electric refrigeration,thermal equipment,power-to-gas equipment and energy storage equipment,and the typical energy consumption scenarios on the demand side are analyzed.(2)Theoretical analysis of shared energy storage’s role in integrated energy system and benefit distribution.Firstly,analyze the basic definition,policy and advantages of shared energy storage.Secondly,analyze the way shared energy storage works on the integrated energy system,including through the actual implementation experience of shared energy storage demonstration projects,analyze the mechanism of shared energy storage implementation,give the mathematical representation of shared energy storage model,and analyze the typical business model of shared energy storage.Finally,based on the game theory analysis of the basic theory of the interest distribution of shared energy storage subjects,including the application of game theory in the integrated energy system,the corresponding mathematical representation of the game theory in the integrated energy system is given in combination with the actual situation,and the implementation strategies for benefit distribution of different operating entities are analyzed.(3)Research on shared energy storage participation in integrated energy system coordinated optimization capacity allocation model.Firstly,analyze the basic structure and coupling method of the integrated energy systems based on shared energy storage.Secondly,analyze the supply side generator mechanism and demand side electricity consumption mechanism,design demand side energy consumption characteristic analysis index,and construct the mathematical representation of model.Finally,the shared energy storage joint supply-side operation and coordinated optimal allocation model is constructed and solved based on reinforcement learning proximal strategy optimization algorithm,and the effectiveness and stability of the model are verified by collecting and invoking the actual data of the shared energy storage demonstration project and conducting the analysis of the arithmetic results of the model.(4)Research on two-stage two-level optimal dispatching model of shared energy storage participation in integrated energy systems.Firstly,analyze the generation method of typical scenarios of integrated energy system,based on Kmeans aggregation algorithm to generate typical scenarios of power generation and energy use on both supply and demand sides of the basic data of integrated energy system.Secondly,refine the two-stage operation process of power-to-gas conversion,including electrolyzer,hydrogen storage tank and natural gas reactor,and construct a two-level optimal scheduling model containing shared energy storage and power-to-gas conversion.Again,considering the dual-side uncertainty of supply and demand,the two-stage two-level optimal scheduling model is robustly transformed based on distributed robust optimization theory.and the model is solved based on improved genetic algorithm.Finally,a comparative analysis of the adaptability of different solution algorithms based on actual operational data,as well as a comparative analysis of the operation of each device and the cost effectiveness of the operating body of the electricity,cooling and heating subsystems in the shared energy storage participating in integrated energy system.(5)Research on the cooperative operation game strategy of integrated energy system considering shared energy storage.Firstly,design and construct an analytical framework for integrated energy systems with multiple operators including integrated energy operators,integrated energy service providers,demand-side user aggregators and shared energy storage operators,and construct mathematical representations of its corresponding game strategy models.Secondly,construct a master-slave double-layer optimal operation game model considering the operation of multiple operators,design the interaction mechanism of the master-slave game of multiple operators,and solve the stackelberg equilibrium solution of the master-slave game based on Matlab platform by invoking the CPLEX solver in Yalmip.Finally,the iterative results of the joint optimization of the master-slave double-layer optimization operation game equilibrium model are analyzed,and the economics of different game mechanisms are compared and analyzed.This dissertation considers the uncertainty of both supply and demand on the participation of shared energy storage in the planning,operation and benefit allocation strategy of integrated energy systems,and provides a reference for the optimal capacity allocation,operation and scheduling and game strategy of shared energy storage participation in integrated energy systems,which has certain theoretical value and significance for landing practice.The shared energy storage capacity allocation model and optimal scheduling model proposed in this dissertation can also be applied to regional level integrated energy system planning and operation management.The multi-body collaborative operation game strategy of integrated energy system considering shared energy storage proposed in this dissertation can also provide reference for different operating bodies’ decision making,and can also provide some reference for the formulation of policies related to the participation of shared energy storage in integrated energy system.
Keywords/Search Tags:integrated energy system, shared energy storage, reinforcement learning, robust optimization, master-slave game
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