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Optimization Of Orderly Charging Of Electric Taxi Battery In Electrical Changing Station Under Electrical Changing Mode

Posted on:2021-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:X LuFull Text:PDF
GTID:2392330647963759Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In the past 10 years,China has been conveying the concepts of green,environmental protection and low carbon to all aspects of industry,agricultural production and life in order to implement the commitments made by China to energy conservation and emission reduction at the 2009 Copenhagen Climate Conference.The most important source of pollution in the automotive industry is the emissions of traditional fuel vehicles.Therefore,the development of green and environmentally friendly new energy vehicles has become the goal of the current domestic and foreign automotive industry.In electric new energy vehicles,direct battery charging and battery replacement mode charging are the two most important charging methods.Direct battery charging often leads to too many vehicles waiting in line at the charging pile due to the long charging time,resulting in the phenomenon of crowded surrounding roads.Changing the battery mode avoids this problem because of the short battery replacement time.Most of the charging methods of batteries in charging and replacing power stations in the power-changing mode are disorder charging methods,which adversely affects the safe operation of the surrounding distribution network and the service life of their own batteries.Electric taxis are the main representative vehicle types in the field of power exchange.Therefore,this paper proposes an optimization method for the orderly charging of electric taxi batteries in replacing power stations in the power exchange mode.First of all,this article points out the background of research on electric vehicles and its positive significance to the future social environment,and then points out the development history of domestic and foreign exchange stations and the current status of the orderly charging in the exchange stations.By analyzing and summarizing,the author has found the research direction of the paper on the orderly charging of electric taxi batteries in the substation in the power exchange mode.Secondly,the orderly control system,the internal topological process and the specific process of electric taxi driving into the power station are introduced in detail.At the same time,the charging process,arrival time characteristics and exchange time characteristics of electric taxi battery are analyzed.Thirdly,based on the Monte Carlo algorithm,this paper establishes a load model of electric taxi battery charging at the substation,and through simulation examples,it is pointed out that the disordered charging will cause the distribution network load curve to “peak on the peak” phenomenon.Finally,this paper takes the minimum cost of power purchase and the minimum mean square deviation of load to the grid as the two-stage objective function.Based on the particle swarm optimization algorithm of simulated annealing,a load model of orderly charging of electric taxi battery under the mode of power exchange is established.The simulation results show that after orderly charging the battery,the cost of power purchase at the substation is indeed reduced,and at the same time it has the effect of “cutting peaks and filling valleys” on the grid load curve.This paper also conducts a two-stage ordered charging study on the three expanded battery reserves in the future.The results show that the more the battery reserves,the more obvious the effect of “cutting peaks and filling valleys” on the daily load curve of the power station.The method of orderly charging the electric taxi battery at the power exchange station studied in this paper also has a certain enlightening significance for the charging of the private car in the future.
Keywords/Search Tags:Switching station, Monte Carlo algorithm, Disordered charging, Simulated annealing particle swarm optimization, Orderly charging
PDF Full Text Request
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