In the next years, electric mobility will be one of the issues electric utilities will have to face. The detailed modeling ofthe electric load generated by the presence of Electric Vehicles, EV, parking lots will be essential to simulate thedifferent working conditions of new distribution systems. Also the detailed modeling will allow to deduce technical andeconomical aspects, allowing Distribution Systems Operators to devise the right incentives for EV customers.Such as, or maybe more than, residential loading the EV loading is strongly variable because it is connected to thehuman behavior, the modeling thus has to include stochastic terms. Moreover, to get realistic load profile for electricmobility, it is essential to consider the social and economical aspects connected to the market penetration of thedifferent models of EVs [1]. This implies the recourse to a Montecarlo approach for simulating the EV load profile.Costs of different types EVs will be a crucial aspect ruling this phenomenon. Habits of the typical customer of eachof the considered models will in turn affect recharge start time. In this paper, based on realistic data available fromstudies carried out in the field, a load model for electrical vehicles parking lots is detailed. The parking lot can becomposed by different types of vehicles and namely: FEV (Full Electric Vehicles,), PHEV (Partially Hybrid ElectricVehicle), EREV (Extended Range Electric Vehicles). The model of each type of vehicle is characterized by a drivingrange and a battery size.Moreover batteries are modeled using the Peukert’s law for lead acid batteries, which is typically not considered instatistical modeling. Moreover the use of the vehicle (domestic, professional) influences the distance covered each dayand thus the State of Charge of the vehicle when it is connected to the recharge station. In the paper, the probabilisticmodel used to simulate a generic EV parking lot impact on a distribution grid is outlined; it considers also smart andunmanaged charging modes.
Lingua originaleEnglish
Numero di pagine2
Stato di pubblicazionePublished - 2012


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