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Planning Of Electric Vehicle Charging Facilities And Capability Evaluation Of A Distribution Network Accommodating Electric Vehicles

Posted on:2017-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:B J LiaoFull Text:PDF
GTID:2272330482483011Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
In recent years, the development of electric vehicles (EVs) has been strongly supported by governments in many countries and has raised widespread concerns of the public. EV charging load forecasting is a prerequisite to charging facilities planning and the analysis of its impacts on the power system concerned. Appropriate charging facilities planning could, to a great extent, contribute to the popularization of EVs, while effectively reduce the impacts of charging loads on secure and economic operation of the power system.A prediction model of charging load based on Monte Carlo simulation is presented. First, the development status of EVs and charging facilities are summarized. Second, charging behavior characteristics of different types of EVs are attained based on statistic analysis of operation and traveling behavior statistics of EVs and conventional vehicles. Then, considering the EV uptake, battery and EV parameters, and charging modes, the EV charging load prediction model based on Monte Carlo simulation is established. The EV charging load in Hangzhou is predicted, and the sensitivity analysis performed under different EV penetration rates, fast charging proportion, and adoption of the optimal charging strategy.A planning method of EV charging facilities based on geographical zonal charging demand coefficients is proposed. First, charging facilities planning principles are summarized. The number of different charging facilities is subsequently calculated with the inputs of daily energy charging needs and the maximum plug-in numbers of all types of EVs. Then, the planning region is divided into several geographical zones, the charging demand coefficient considering travel destination, traffic congestion and regional economic development in each zone is determined. Finally, the planning of Hangzhou EV charging facilities in dedicated, private and public charging networks is carried out to demonstrate the essential features of the proposed method.An evaluation method of distribution network’s capability of accommodating EVs is proposed. First, the spatio-temopral EV charging load is predicted based on Monte Carol simulation considering the parking behavior of EVs. Then, the distribution system is divided into different regions, and the charging load is spatially allocated based on the geographical one-to-one relation between the location of charging facilities and distribution system nodes. Finally, the maximum capacity of the supplying EV charging load under different base loads, EV growth rates, security and economic operation constraints of the distribution system concerned is analyzed for the IEEE 30-node system.
Keywords/Search Tags:electric vehicle, charging load, spatial and temporal distribution, charging facilities planning capability of accommodating electric vehicles
PDF Full Text Request
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