Research On Planning Method Of Integrated Optical Storage And Charge Electric Vehicle Charging Station

In the context of global energy transformation,the energy structure gradually develops towards low carbon trend.With the establishment of carbon peaking and carbon neutrality goals,our country will further enhance the level of energy security.Electric vehicles have been widely recognized around the world because they do not rely on fossil energy and zero carbon dioxide emission during driving.Among them,as an important supporting service facility in the development process of electric vehicle industry,charging stations play an important role in the commercialization process of electric vehicles.It is a key step to solve the environmental and traffic problems by combining renewable energy with electric vehicle charging stations,and it is of great practical significance for the overall development of electric vehicle industry in western China.This paper aims at the realistic scenario of EV charging in the service area of western expressway,takes the EV charging load prediction and queuing theory as its fundamental,combines with the energy management of charging stations and EV charging load management,studies the capacity configuration optimization of EV charging stations in off-grid operation and the realization of energy-consistent light-storage-charge integration.The main research contents of this paper are as follows:(1)The research background and significance of this topic are expounded.According to the EV charging supply and demand relationship,this paper summaries the research status at home and abroad from the aspects of EV charging load prediction,charging station planning strategy including renewable energy output,and capacity configuration optimization of EV light-storage and charging station.On this basis,this paper constructs the architecture of an integrated light-storage-charge EV charging station to serve the research of highway charging station planning,introduces the queuing theory method used in the following paper,details the basic principle and iterative operation flow of PSO optimization algorithm,and lays a theoretical foundation for solving the single objective and multi-objective optimization problems in the future.(2)Aiming at the optimization problem of light-storage capacity allocation for EV charging stations in the western expressway service area,this paper proposes an optimization method for light-storage capacity allocation of EV charging stations which considers the spatial-temporal distribution characteristics of EV charging load and photovoltaic output characteristics in the western region,as well as conducts the energy management analysis on the energy storage system of charging stations from the perspectives of power balance and quantity balance.Secondly,an optimization model of light-storage capacity collaborative configuration was established with the maximum economic benefit of charging stations as the optimization objective.This paper selects the Jinda service area in the middle section of Lalin Expressway in Lhasa as the setting to carry out an example analysis and uses the PSO optimization algorithm to solve the model on the premise of meeting the charging demand of electric vehicles and the reliability index of the power supply system.Thus,the optimal configuration of opticalstorage capacity of charging station is realized.On this basis,the results of optimal allocation of light-storage capacity of charging stations under different optical abandonment rate constraints are compared and analyzed,and the optimal capacity allocation scheme based on economic considerations is given.(3)Aiming at the actual operation scenario of EV charging stations integrated with optical,storage and charging in the western expressway service area,the dual-queue dynamic queuing optimization model of charging stations and EV charging load management model are established according to the queuing theory.Based on the single objective model in Chapter 3,taking the minimum annual total cost of charging station economic benefits and the highest user satisfaction as the optimization goals,we construct a multi-objective optimization model for the light-story-charge capacity configuration of charging station and introduce the MOPSO optimization algorithm to solve the model under different power supply reliability constraints.Through the comparison of different Pareto frontier Reliability scheme sets,power supply reliability constraint is reasonably selected based on considering the daily operation stability of charging stations.Finally,the entropy weight-TOPSIS method is used to compare and analyze the capacity configuration schemes that satisfy both power supply reliability constraints and user satisfaction standards.The solution choice considering the economic benefit and user satisfaction of the charging station under the actual operation scenario is given.