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Research On The Impact Of Electric Vehicles Access To The Local Power System And Economic Dispatch Of Vitual Power Plant

Posted on:2021-05-21Degree:MasterType:Thesis
Country:ChinaCandidate:E Q NiuFull Text:PDF
GTID:2492306032967189Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the growth of electric vehicle users,China has built an electric vehicle charging system with the largest number of charging facilities and the largest radiation area in the world.In order to ensure the normal and fast charging of electric vehicles,the impact of electric vehicle access on the power grid and the risk of grid connection should be further studied.In addition,renewable energy is also developing rapidly,and photovoltaic and wind power generation play an important role in the power market.Electric vehicles have a dual role of load and power source,which can be used to stabilize the randomness and fluctuation of photovoltaic power generation and wind power generation.Therefore,the analysis of the collaborative output of renewable energy and electric vehicles and the related research of electric vehicles participating in virtual power plant scheduling are of great significance.First of all,this paper studies the load forecast of electric vehicles.Firstly,from a macro perspective,the spatial and temporal characteristics of the distribution of electric vehicles in cities are analyzed based on data such as travel reports.Secondly,from a micro perspective,the fuzzy inference system is used to analyze the three factors that affect the user’s willingness to charge,such as battery SOC,time-of-use electricity price,and parking time,and use dynamic programming theory to simulate what kind of charging pile the user chooses.Finally,based on Monte Carlo theory,a load calculation method for electric vehicles is proposed.After comparison,the influence of considering the user’s charging willingness on the charging curve of the car is analyzed.The charging characteristics of electric vehicles in six areas of the city were studied.Secondly,this paper analyzed electric vehicle access problem for the actual power grid of the GX region.Firstly,the relevant measured data of the power grid in the GX area was collected and equivalently calculated,and the research method of the electric vehicle’s connection to the power grid was given.The changes in the load,voltage,and network loss of the GX power grid after the electric vehicle was connected were analyzed.Secondly,for the GX power grid,seven evaluation indicators are defined from the perspective of economics and safety,and the entropy weight method is used to obtain weights,and an electric vehicle grid-connected risk assessment system is established.The risk of electric vehicle occupancy and access location to the power grid is analyzed.The evaluation system can be used to plan the location or charging capacity of electric vehicle charging stations.Finally,this paper analyzed the economic dispatch of virtual power plants in which electric vehicles participate in V2G mode.Firstly,the relationship between the SOC boundary value and the SOC of the electric vehicle when the electric vehicle participates in the economic dispatch of the virtual power plant is further studied.Secondly,the power dispatching models and operating strategies are constructed.An electric vehicle regulation strategy based on RTI,TOUI,SOCI operation is proposed,which can improve the overall revenue of virtual power plants.The potential and economic benefits of electric vehicles participating in the operation of a virtual power plant under V2G mode are verified to compensate for the fluctuations and randomness of wind and light output,and so on.
Keywords/Search Tags:Electric vehicle, Load forecast, Risk assessment, Virtual power plant, Fuzzy inference system
PDF Full Text Request
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