能源互联网中的博弈电价定价机制研究
发布时间：2018-11-01 20:53
【摘要】：能源互联网[1]作为第三工业革命的核心理论是未来电网发展的方向和可再生能源应用的主要模式。本文以能源互联网为背景,重点研究了在以能源互联网架构为背景的电网结构、电力市场结构以及在此结构下基于博弈的电价定价策略建模。论文主要从以下几个方面进行研究:(一)深入分析了能源互联网中的电价定价问题从能源互联网发电、输电、配电、售电全过程出发,明确了问题的实质与研究范围,指出了能源互联网中的电价定价问题的特性和关键因素,并对该问题的组成要素进行抽象和分析。从而为能源互联网中的电价定价过程和基于博弈的电价定价策略模型的建立打下了良好的基础。(二)提出了能源互联网中的电价定价问题的解决思路论文针对能源互联网的电价定价真实过程,借鉴了传统电网的电价定价方法和需求响应理论,将能源互联网中的电价定价问题抽象转化成为基于需求侧的电价响应问题,利用博弈论的相关知识,结合经济学的需求价格弹性理论,提出对于需求侧的电价响应问题的博弈均衡解,并借助多agent建模方法,仿真验证定价方法的可行性。(三)研究了基于博弈的电价定价机制根据电力市场中电价定价的一般过程,采用博弈理论分析,建立能源互联网中电价定价的博弈问题,系统分析了参与定价过程的用户模型和电力供应商模型,并对这一博弈定价过程进行了具体的描述。(四)基于agent的电力市场模型设计与实现根据一般系统的建模过程,在基于agent的Repast仿真平台下设计了电力市场仿真模型。明确了能源互联网中的电价定价的背景,然后根据具体的仿真环境分析了电力市场仿真的实体模型,讨论了由实体模型构建的仿真模块以及各模块之间的关系。(五)案例研究基于Repast仿真平台下电力市场仿真模型,并利用先前设计的基于博弈的电价定价实现电力市场中电价制定。最后,通过仿真实验分析用电需求量及其波动性和电价信号,并将基于博弈的电价定价与传统电价相比,证明其优越性。同时,分析了在能源互联网中可再生能源发电对电价定价的影响。
[Abstract]:As the core theory of the third Industrial Revolution, the energy Internet is the direction of the future grid development and the main mode of renewable energy application. Based on the background of energy Internet, this paper focuses on the grid structure based on the energy Internet architecture, the electricity market structure and the price pricing strategy modeling based on the game theory. The thesis mainly carries on the research from the following aspects: (1) deeply analyzes the electricity price pricing question in the energy Internet from the energy Internet generation, the transmission, the distribution, the sale electricity entire process, has clarified the question essence and the research scope. This paper points out the characteristics and key factors of the pricing problem of electricity price in the energy internet, and abstracts and analyzes the constituent elements of the problem. Therefore, it lays a good foundation for the pricing process of electricity price in the energy Internet and the establishment of the pricing strategy model based on game theory. (2) the paper puts forward the solution to the problem of electricity price pricing in the energy Internet. The paper aims at the real process of electricity price pricing in the energy Internet, and draws lessons from the traditional electricity pricing method and demand response theory. In this paper, the pricing problem of electricity price in the energy Internet is abstracted into the demand side price response problem, and the relevant knowledge of game theory is used to combine the demand price elasticity theory of economics. A game equilibrium solution for the demand side price response problem is proposed and the feasibility of the pricing method is verified by simulation with the help of multiple agent modeling method. (3) based on the general process of electricity pricing in power market, the game theory is used to analyze the pricing mechanism of electricity price based on game theory, and the game problem of electricity price pricing in energy Internet is established. The user model and power supplier model involved in the pricing process are systematically analyzed, and the game pricing process is described in detail. (4) the design and implementation of electricity market model based on agent. According to the modeling process of general system, the power market simulation model is designed under the Repast simulation platform based on agent. In this paper, the background of pricing of electricity price in the energy Internet is defined, then the entity model of electricity market simulation is analyzed according to the specific simulation environment, and the simulation module constructed by the entity model and the relationship between the modules are discussed. (5) the case study is based on the electricity market simulation model based on Repast, and the electricity pricing based on game theory is used to set the electricity price in the electricity market. Finally, the electricity demand, its fluctuation and the electricity price signal are analyzed by simulation experiments, and the advantage of the game based pricing is proved compared with the traditional electricity price. At the same time, the influence of renewable energy generation on pricing is analyzed.
【学位授予单位】：国防科学技术大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.61;F726
本文编号：2305074
[Abstract]:As the core theory of the third Industrial Revolution, the energy Internet is the direction of the future grid development and the main mode of renewable energy application. Based on the background of energy Internet, this paper focuses on the grid structure based on the energy Internet architecture, the electricity market structure and the price pricing strategy modeling based on the game theory. The thesis mainly carries on the research from the following aspects: (1) deeply analyzes the electricity price pricing question in the energy Internet from the energy Internet generation, the transmission, the distribution, the sale electricity entire process, has clarified the question essence and the research scope. This paper points out the characteristics and key factors of the pricing problem of electricity price in the energy internet, and abstracts and analyzes the constituent elements of the problem. Therefore, it lays a good foundation for the pricing process of electricity price in the energy Internet and the establishment of the pricing strategy model based on game theory. (2) the paper puts forward the solution to the problem of electricity price pricing in the energy Internet. The paper aims at the real process of electricity price pricing in the energy Internet, and draws lessons from the traditional electricity pricing method and demand response theory. In this paper, the pricing problem of electricity price in the energy Internet is abstracted into the demand side price response problem, and the relevant knowledge of game theory is used to combine the demand price elasticity theory of economics. A game equilibrium solution for the demand side price response problem is proposed and the feasibility of the pricing method is verified by simulation with the help of multiple agent modeling method. (3) based on the general process of electricity pricing in power market, the game theory is used to analyze the pricing mechanism of electricity price based on game theory, and the game problem of electricity price pricing in energy Internet is established. The user model and power supplier model involved in the pricing process are systematically analyzed, and the game pricing process is described in detail. (4) the design and implementation of electricity market model based on agent. According to the modeling process of general system, the power market simulation model is designed under the Repast simulation platform based on agent. In this paper, the background of pricing of electricity price in the energy Internet is defined, then the entity model of electricity market simulation is analyzed according to the specific simulation environment, and the simulation module constructed by the entity model and the relationship between the modules are discussed. (5) the case study is based on the electricity market simulation model based on Repast, and the electricity pricing based on game theory is used to set the electricity price in the electricity market. Finally, the electricity demand, its fluctuation and the electricity price signal are analyzed by simulation experiments, and the advantage of the game based pricing is proved compared with the traditional electricity price. At the same time, the influence of renewable energy generation on pricing is analyzed.
【学位授予单位】：国防科学技术大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.61;F726
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1 肖世杰;;构建中国智能电网技术思考[J];电力系统自动化;2009年09期
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1 文充;满足舒适要求的空调系统需求响应及错峰运行策略研究[D];重庆大学;2011年
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