Charging load calculation method of large-scale electric vehicles with coupling characteristics

Based on the kernel density function, a charging load calculation model with coupling characteristics is improved. In this model, the kernel density function instead of deterministic probability distribution function is selected to fit electric vehicles' (EVs') driving characteristics, the multi-dimensional probability distribution function to generate EVs' driving random numbers with coupling features, and the charging probability to describe users' uncertainty charging behavior. By comparing the calculated charging load with the actual charging load of a normal EVs' charging station, the superiority of this method is verified. And then based on the improved model, the charging load of future large-scale residents' private EVs is predicted. It is shown by research that the uncertain charging behavior exerts a great impact on EVs' charging load. With decreased charging probability, the peak of charging load is greatly reduced, the peak value variation range and charging duration both increased and uncertain effects are brought to the grid load. © 2015 Automation of Electric Power Press.