Research on Charging Load Modeling and Influence on Distribution Network of Household Electric Vehicle

HAO-HAO SHEN, YONG-CHENG PING, LEI LU, CHANG DIAO, JIA-CHENG SUN, JIA-CHI SHU, YU-HAN GAO, JIA-BIN GU, CHEN-CHEN GOU

Abstract


The impact of large-scale access of electric vehicles on the power distribution network of electric power systems has become increasingly prominent. To solve the problems brought by electric vehicle charging to the distribution system, it is particularly important to predict the charging load of electric vehicles. Based on the travel chain theory, this paper models the charging demand of household electric vehicles. Considering the uncertainty of charging demand in space and time, combined with the Monte Carlo method, taking the typical IEEE33 node power distribution system as an example, this paper simulates the impact of electric vehicle charging load access on the distribution network under different penetration rates and different access modes. The research results show that the charging load of household electric vehicles is usually concentrated in residential areas, and the impact on the overall load characteristics of the distribution network and the node voltage offset is more significant as the penetration rate of electric vehicles increases

Keywords


Electric vehicles, Charging load, Travel chain, Monte Carlo method.Text


DOI
10.12783/dtetr/amee2019/33498

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