Highway Electric Vehicle Charging Load Prediction and its Impact on the Grid

In this passage, a new method is proposed to predict the load of electric vehicles (EVs) on highway. In this method, a simplified highway network containing charging stations is established, based on which we can generate an adjacency matrix. Then the origin and destination (OD) of vehicles are extracted according to the probability density function (PDF) built by the statistic of highway toll station. Floyd algorithm is used to determine the routine of EVs. Departure time, state of charge (SOC), battery capacity, driving speed and other parameters are all extracted according to PDF. Monte Carlo method is attached to simulate large-scale EV load on highway. Highway network of Jiangsu province is proposed as an example, and impact of EV load on power grid is evaluated by voltage deviation and loss.