Impact Evaluation of Plug-in Electric Vehicles on Power System

摘要: The aim of this chapter is to expose the probabilistic Plug-in electric vehicle (PEV) charging model and apply it in a distribution grid evaluate PEV impact. based on agent-based techniques, has variables, includes queuing theory, applies Monte Carlo methodology. user’s needs can be divided two categories: private points public points. Regarding points, demand depends strongly mobility variables as number trips per day, driving distance, arrival time. Also, profile modelled with connection point. All these distributions functions obtain data from different sources. Additionally, are made available for users that need plug-in between extend autonomy. After that, applied case study analyze impact power network. Probabilistic probability exceed maximum voltage drop, transformer current saturations. main saturations lines they reduced controlling but does not make sense control Fast chargers present some challenges integration because 50 kW rate charger. In chapter, stochastic arrivals fast stations, their stations designed autonomy station have certain behavior. charger evaluation theory corresponding electricity evaluated. analyzed three installed same provoke lines.