شماره ركورد كنفرانس :
5547
عنوان مقاله :
A Probabilistic Model for Estimating Demand Profile of Charging Stations in Centralized Battery Swapping Mode
پديدآورندگان :
Shaker Mohammad Hasan Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran , Farzin Hossein Farzin@scu.ac.ir Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran , Mashhour Elaheh Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
كليدواژه :
battery swapping , centralized charging station , electric vehicle , demand profile , probabilistic model
عنوان كنفرانس :
دومين كنفرانس ملي پژوهش هاي كاربردي در مهندسي برق
چكيده فارسي :
In this paper, a model is introduced for calculation of the total power consumption of a central charging stationthat feeds battery swapping station in the centralized charging mode. In centralized charging mode depleted batteries echarged at Central Charging Station (CCS) and then distributed to the battery swapping stations. For this purpose, firstly a model is presented in which, battery charging management is performed with the aim of minimizing station costs. In this context, four different charging management schemes are modelled. Based on this model, a probabilistic model is expressed by which, the total power consumption of the station during a sample day is calculated. This probabilistic model addresses random battery swapping pattern of electric vehicles, as well as the market share of different battery types. Finally, the proposed framework is implemented and the obtained results are discussed.
