Electric Vehicles Participate In Automated Demand Response Business And Potential Research

With the introduction of global energy internet initiative and smart grid construction,automatic demand response is playing an increasing role in improving the reliability,economy and efficiency of the power system.More in-depth and diversified research on the automatic demand response still in the initial stage is the urgent need in the current economic and environmental situation.First,this article comprehensively analyzes the current research status and engineering cases of automatic demand response at home and abroad,points out the development trend of automatic demand response technology in the future as well as the two key issues: the construction of business system and the evaluation of potential benefits,points out the research background and significance of this article.Second,on the basis of defining the difference between automatic demand response technology and traditional demand response technology,divide the business types of automatic demand response and the business roles involved in the business scenario,and establishes the business system architecture and implementation system architecture of automatic demand response.It provides a reference for the preliminary planning and scheduling operation of automatic demand response business.Third,automatic demand response is one of the most direct and effective ways for users to experience the achievements of Energy Internet.This paper uses the Unified Modeling Language to analyze the automatic demand response business and design its business process.Modeling analysis and demonstration of interactive electric power business in which electric vehicles participate in automatic demand response,completed a low-level display of the high-order business model for automatic demand response and provide a reference for the development of automated demand response and electric vehicle interactive electricity business.Fourth,how much economic potential can be generated for the multivariate response resources is a prerequisite for the development of automatic demand response business.In a city as the research object,on the basis of the analysis of power load demand,using the bass diffusion model to predict the development scale of electric vehicles,the Monte Carlo method was used to establish a cluster electric vehicle charging load model,and simulation of the impact of large-scale electric vehicle charging load on the grid load.In the end,based on the peak valley electricity price strategy to study the peak shifting potential of electric vehicles under the orderly charging situation.Finally,the research of this paper is summarized and the contents of future research are prospected.