基于主动负荷控制的用户侧微电网能量优化的研究

发布时间：2017-12-28 06:05

本文关键词：基于主动负荷控制的用户侧微电网能量优化的研究　出处：《北方工业大学》2016年硕士论文　论文类型：学位论文

【摘要】：近年来,随着智能电网技术的快速发展和需求响应的深入开展,在电能使用效率和电网与用户的互动服务方面的开发空间越来越大。其中智能用电是解决这些领域中相关问题的关键所在,也是智能电网中的重要部分。与此同时,随着分布式能源在居民侧的普及和智能家电产业的发展,使得用户侧的用电方式更加灵活,也为智能用电开拓了新的路径。从目前的研究来看,在智能用电技术的研究中,多数都集中在系统的终端设备的开发、网络通信技术等硬件功能方面,而在家电或储能等设备具体应该如何运行上,还是过多地依赖用户自主决定,没有达到真正的“智能”。因此如何应用电力需求响应信息、设备参数、用户个性化要求等相关功能数据,使用户更加主动地调节自身能源结构,更加经济合理的规划用电就显得尤为必要。本文的研究对象包含光伏、储能和智能家电的用户侧微电网,设计了一种基于主动负荷控制的优化运行策略,通过该策略根据各类用电设备的特点有针对性地对其优化,最终达到节能和经济的目的。文章首先介绍了相关理论基础,包括主动负荷技术、需求响应相关内容以及用户侧微电网能量管理,其中,主动负荷技术是智能用电的切入点,是用户侧微电网能量管理的物理基础；需求响应则是智能用电指导方向,属于用户侧微电网能量管理的应用部分；对于用户侧微电网能量管理着重介绍了能量管理系统中各个功能模块的功能及特点。其次,本文详细地对用户侧微电网中的各部分进行了建模,包括拓扑结构、分布式电源以及参与优化运行的几种主动负荷的模型,结合用户侧微电网中各部分的模型特点提出了针对不同类型负荷的分步优化策略,其中对于具备可调控负荷特性的温控负荷,提出了一种基于纳什谈判理论的优化策略,通过分析温控负荷的使用满意度和使用经济性之间的关系来制定其运行方案；对于电动汽车等可转移负荷采用了最小化用电费用的优化策略。最后,为了验证所提方案的有效性设计了算例,并在MATLAB平台中编程实现,对于可调控负荷的优化运行分别运用遗传算法和fmincon函数求解并对结果进行了对比分析,对于可转移负荷的优化运行使用了混合整数线性规划法求解,同时为凸显本文所提方案的优越性,还进行了相应的对比。结果显示所设计的方案能够定量、动态地分析温控负荷的经济性和满意度并以此为依据对其进行调节,同时对于整个用户侧微电网系统可以有效调整负荷的峰谷关系,提高系统的运行收益。
[Abstract]:In recent years, with the rapid development of smart grid technology and the deepening of demand response, the development space of electric energy efficiency and interaction service between power grid and users is increasing. Intelligent power use is the key to solve the related problems in these fields, and it is also an important part of the smart grid. At the same time, with the popularity of distributed energy on the residential side and the development of smart home appliance industry, the user side power consumption mode is more flexible, and it also opens up a new path for intelligent power consumption. From the present study, the research of electricity technology in intelligence, most are concentrated in the terminal equipment of the system development, network communication technology and other hardware features, while the appliance or storage devices such as how should the specific operation, or too much reliance on the user to decide, there is no real "smart". Therefore, how to apply the power demand response information, equipment parameters, user personality requirements and other related functional data, it is particularly necessary for users to adjust their energy structure more actively, and make more economical and rational planning of electricity consumption. The research object of this paper contains photovoltaic, energy storage and smart appliances user side micro grid, designed an optimal operation strategy of active load control based on the strategy according to the characteristics of all kinds of electrical equipment for its optimization, finally achieve the purpose of saving energy and economy. This paper firstly introduces the related theoretical basis, including the active load demand response technology, relevant content and user side energy management of micro grid, the active load technology is the starting point of the intelligent electrical, physical basis of the user side of micro grid energy management; demand response is intelligent power direction application part to the user side micro grid energy management; to the user side of micro grid energy management focuses on the functions and characteristics of each functional module in energy management system. Secondly, each part of this paper on the user side in the micro grid are modeled, including topology, distributed power optimization and participate in the operation of several active load model, combined with the user side model characteristics of each part in the micro grid is proposed for the step-by-step optimization strategy of different types of load, the load can be controlled with temperature control load characteristics, proposes an optimization strategy based on Nash bargaining theory, through the analysis of temperature load satisfaction and using the relationship between the economy to develop its operation plan; load transfer uses the optimization strategy of electricity cost minimization for electric vehicles. Finally, design examples to verify the validity of the proposed scheme, and in the MATLAB platform programming for optimal operation of adjustable load respectively using genetic algorithm and fmincon function method and the results were compared and analyzed, for optimal operation of the load transfer using a mixed integer linear programming method, at the same time this paper highlights the superiority of the proposed scheme, also made the corresponding comparison. The results show that the designed scheme can quantitatively and dynamically analyze the economy and satisfaction of the temperature control load, and adjust it based on it. At the same time, for the whole user side microgrid system, it can effectively adjust the load peak and valley relationship and improve the operation benefit of the system.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

【相似文献】