Economic Indicator-Based Power Quality Assessment of Distribution Network Incorporating Electric Vehicle Stations

The access of electric vehicle charging stations (EVCS) brings challenges to the stable operation of the distribution network. At present, there is a lack of indicator to quantify the economic losses caused by the decrease in power quality of the distribution network due to the access of EVCSs. In the paper, the travel trajectories of electric vehicle users are constructed through trip chain and state transition matrices, thereby obtaining the spatiotemporal distribution of charging loads. In addition, the voltage deviation and line loss caused by charging loads are unified into economic indicator to quantify. The simulations are conducted in a road network coupled to the IEEE 33-node distribution network. The result shows that the charging load of electric vehicle charging stations have a significant impact on the power quality of the distribution network. At the same time, optimizing the location of charging stations and guiding electric vehicle users' charging behavior can effectively improve the power quality and economic efficiency of distribution networks.