FORMATION OF A REFERENCE NETWORK OF ELECTRIC CHARGING INFRASTRUCTURE FOR VEHICLES BASED ON SWARM INTELLIGENCE METHODS

Using the particle swarm method on the territory of Moscow, points of attraction were identified as the basis for further deployment of a network of electric vehicle charging stations in the adjacent territories. For each point of attraction, the relative proportion of the predicted load from electric transport is calculated, which determines the total number and capacity of stations. The load was estimated by an indirect indicator – the volume of passenger traffic distributed over the territory, to account for the annual variability of which the Pearson family of curves was used.