【作者】 张铁；

【导师】 董海艳； 罗蓬；

【作者基本信息】 燕山大学 ， 电气工程（专业学位）， 2024， 硕士

【摘要】 随着综合能源系统的大力发展和综合能源市场的日益开放,用户侧分布式能源设备得到规模化开发利用,为用户提供了更加多元化的用能途径,如何在保证用户正常能源供应的同时提升用户用能经济性已成为研究重点。目前,针对用户的能量供给途径,用户可选择从综合能源服务商(Integrated Energy Service Provider,IESP)处购能,也可利用分布式能源技术实现能源自给自足。然而,现有供能模式均未考虑市场侧IESP能源价格调控与用能侧用户能源站建设资源的耦合作用,具有一定局限性。本文结合IESP供能和自建能源站(Self-built Energy Station,SBES)供能两种现有供能模式的供能特点,提出了一种兼具二者用能经济价值的混合供能模式下的用户自建能源站规划方法,主要研究内容如下:首先,本文对用户自建能源站展开研究,基于能源集线器理论构建了用户自建能源站的结构,并建立了用户自建能源站各设备元件的数学模型;同时介绍了IESP供能和SBES供能两种现有能源供应模式的内涵、能量供需关系以及各自的适宜用户类型,并结合两种供能模式的供能特点,提出了混合供能模式,介绍了其内涵及能源交易机制,为后续两章的内容奠定基础。其次,为解决混合供能模式下用户自建能源站的规划问题,提升用户用能经济性,本文给出了一种计及IESP和用户SBES关于用户用能需求分配博弈关系的用户自建能源站规划方法,在主从博弈框架下优化了IESP和用户的策略,得到了用户SBES规划方案,并证明了该博弈均衡的存在性和唯一性,利用差分进化算法嵌套CPLEX求解器求解。最后,通过三种供能模式下的算例对比,验证了所提模型在用户经济用能方面的效果。最后,为进一步提升用户用能经济性,考虑同区域用户SBES之间的能量交互,建立了一种考虑用户联盟的用户自建能源站规划模型。分析同区域用户之间进行合作的可行性与合理性,并基于合作博弈理论建立用户联盟;以同区域用户总用能成本最低为目标函数构建用户联盟模型,并将该模型应用到上述主从博弈模型的下层跟随者处,采用Shapley值法进行成本分配,通过算例对比验证了所提方法的有效性。更多还原

【Abstract】 With the vigorous development of integrated energy systems and the increasing liberalization of the integrated energy market,user-side distributed energy equipment has been utilized on a large scale.This provides users with more diversified ways of energy use.How to ensure the normal energy supply of users while improving the economic of energy use has become the focus of research.At present,for the user’s energy supply path,the user can choose to purchase energy from integrated energy service provider(IESP),can also use distributed energy technology to realize energy self-sufficiency.However,the existing energy supply modes do not take into account the coupling of IESP energy price regulation on the market side and the construction of energy stations on the energy-using side,which has certain limitations.This paper combines the energy supply characteristics of two existing energy supply modes,namely IESP energy supply and self-built energy station(SBES)energy supply,and proposes a planning method for user self-built energy station under the hybrid energy supply mode that combines the economic value of the two,and the main research contents are as follows:Firstly,this paper conducts research on user self-built energy station.The structure of user self-built energy station is constructed based on the theory of energy hub,and the mathematical model of each equipment component of user self-built energy station is established.Meanwhile,the connotation,energy supply and demand relationship,and suitable user types of the two existing energy supply modes,IESP and SBES,are introduced.Combining the energy supply characteristics of the two energy supply models,a hybrid energy supply mode is proposed,and its connotation and energy trading mechanism are introduced.The above content lays the foundation for the content of the following two chapters.Secondly,in order to solve the planning problem of user self-built energy station under the hybrid energy supply mode and to improve the economic of user energy use,a user self-built energy station planning method that takes into account the game relationship between IESP and user SBES about the allocation of user energy demand is proposed in this paper,which optimizes the strategies of IESP and the user under the framework of the master-slave game,and obtains the planning scheme of user’s SBES.Meanwhile,the existence and uniqueness of the equilibrium of this game are proved.The model is solved using the differential evolutionary algorithm nested CPLEX solver.Finally,the effectiveness of the proposed model in terms of economic energy use by users is verified by comparing the examples under three energy supply modes.Finally,in order to further improve users’ energy economy,a user self-built energy station planning model considering user alliance is established by taking into account the energy interactions between users’ SBESs in the same region.The feasibility and rationality of cooperation between users in the same region are analyzed,and a user coalition is established based on cooperative game theory.The user coalition model is constructed with the objective function of minimizing the total energy cost of users in the same region,and the model is applied to the lower follower of the master-slave game model mentioned above.The Shapley value method is used for cost allocation.The effectiveness of the proposed method is verified by comparison of the arithmetic examples.更多还原