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Research On Electric Vehicles Charging Reservation Mechanism And The Optimization Dispatch Strategy Of Photovoltaic Charging Station

Posted on:2021-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:S S ZhaoFull Text:PDF
GTID:2392330614971513Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As an emerging transportation,electric vehicle has more advantages than traditional vehicle on alleviation of the energy crisis and reduction of environmental pollution.Thus,it has aroused wide spread attentions form all over the world.However,the random and varied charging power of the electric vehicle has a great adverse impact on regular operation of power system.Therefore,an electric vehicle charging scheduling strategy based on reservation is proposed in this paper.The customer requirement model the road condition of traffic system and available charging resources in the charging stations have been fully taken into consideration.Under the proposed strategy,different demands of users can be satisfied and economic operation of the charging station are derived as well.Firstly,in order to obtain the real-time states of electric vehicle charging process and the efficient charging scheduling based on the acquired information,the characteristics of traffic roads,electric vehicles and charging stations are analyzed.Then,A charging reservation mechanism considering information of road,electric vehicle and charging station is proposed,which is based on the concept of deep integration of the Internet of Things and intelligent terminals.Secondly,the charging requirement from the perspectives of the reservation users and the charging station is analyzed in this paper,and the factors that affect the charging matching strategy in the reservation decision process is concluded.According to the different charging reservation demands of electric vehicle users,a peer-to-peer matching strategy between electric vehicles located in a certain area and charging stations is realized.Based on the disappointment and satisfactory index of agents,a matching scheduling model is proposed to achieve the maximum satisfactory of both sides,and the best charging matching schedule can be derived as well.Compared with the typical strategy without reservation,simulation results based on a certain area verify that the utilization of charging devices in the charging station can be improved by proposed strategy.Meanwhile,the charging cost of users and the peak-valley load difference of the distribution network within the area can be reduced as well.Finally,a hierarchical scheduling strategy is proposed to optimize photovoltaic charging stations and guides electric vehicle users who have matched with the charging stations.In the day-ahead optimal scheduling strategy,an optimal model of charging load is constructed to cut down the peak load of the station and minimize the total purchasing cost of electricity.The particle swarm algorithm is utilized to calculate the optimal scheduling power for the following day at the charging station.For the optimization within the day dispatch,due to the uncertainty and fluctuation of solar energy and the time-varying charging requirements of electric vehicles,there is a large deviation between the day –ahead forecast data and the real-time demand.The charging power in the station can be re-optimized through related adjustment of the charging station.Based on the real-time charging information of the reservation,the guide charging power of the day-ahead optimization results can be revised,and the real-time optimized scheduling power within the day will be obtained.The simulation results verify that the reservation charging schedule can effectively adjust the charging behavior of electric vehicle,reduce purchasing cost of electricity at charging stations,and achieve the maximum utilization of photovoltaics.Meanwhile,a complementary charging load between photovoltaic output and electric vehicles is formed.the consumption of distributed generation is improved,and more installation of electric vehicles can be allowed to the electric grid.
Keywords/Search Tags:Electric vehicle, Reserving charging, Optimal scheduling, Multiple criteria matching, Photovoltaic charging station
PDF Full Text Request
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