Title :
A virtual power plant management model based on electric vehicle charging infrastructure distribution
Author :
Musio, Maura ; Damiano, Alfonso
Author_Institution :
Sardegna Ric., Pula, Italy
Abstract :
The exploitation of distributed generation based on intermittent renewable energy sources (RES) has increased the load and generation profile variability. The resort to distributed energy storage systems (DESSs) is usually proposed to compensate the volatility introduced by RES. In particular, plug-in electric vehicles (EVs) are considered one of the most interesting solutions for providing DESSs with the aim of exploiting RES production and matching the distributed electrical generation to the local demand. The aim of this paper is to analyze the impact of vehicle-to-grid technology on an weakly interconnected Virtual Power Plant (VPP) in order to evaluate the effects that distribution and availability of EVs charging structures can have on VPP total cost. A novel mathematical modeling of the mobility system is firstly developed to calculate the probabilistic distribution of parking places. Thereafter, the economic impact on a VPP has been evaluated for different plug-in ratio and charging station scenarios.
Keywords :
distributed power generation; electric vehicles; power grids; power plants; statistical distributions; DESS; EV charging structures; RES production; VPP; charging station; distributed electrical generation; distributed energy storage systems; electric vehicle charging infrastructure distribution; generation profile variability; intermittent renewable energy sources; mathematical modeling; mobility system; plug-in electric vehicles; plug-in ratio; probabilistic distribution; vehicle-to-grid technology; virtual power plant management model; weakly interconnected virtual power plant; Batteries; Cogeneration; Energy management; Mathematical model; Production; Vehicles; Electric Vehicles; Energy Management; Power System Economics; Renewable Energy Sources; Vehicle-to-Grid; Virtual Power Plant;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-2595-0
Electronic_ISBN :
2165-4816
DOI :
10.1109/ISGTEurope.2012.6465684