Title :
Electric Vehicle Mobility in Transmission-Constrained Hourly Power Generation Scheduling
Author :
Khodayar, Mohammad E. ; Lei Wu ; Zuyi Li
Author_Institution :
Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
The proposed approach evaluates the effect of integrating a large number of electric vehicles (EVs) on power grid operation and control. The EV fleets could serve as electricity load when drawing energy from the grid and as energy storage (vehicle-to-grid) when delivering energy to the grid. The paper considers two operating modes for EV fleets which are consumer-controlled and grid-controlled. The power grid generation mix represents a multitude of units including thermal, hydro, and wind. The paper considers the impact of EV battery utilization on offsetting the hourly variability of wind generation units in transmission-constrained power grids. The paper considers charging/discharging schedule of EV batteries and consumer driving requirements on the optimal hourly transmission-constrained commitment and dispatch of generation units in the day-ahead scheduling. The hourly solution of the proposed method will minimize the cost of supplying the hourly load while satisfying the temporal constraints of individual components in power grids.
Keywords :
battery powered vehicles; power generation dispatch; power generation scheduling; power grids; wind power plants; EV battery utilization; EV fleets; charging-discharging schedule; day-ahead scheduling; electric vehicle mobility; electricity load; energy storage; optimal hourly transmission-constrained commitment; optimal hourly transmission-constrained dispatch; power grid control; power grid generation mix; power grid operation; transmission-constrained hourly power generation scheduling; transmission-constrained power grids; wind generation units; Batteries; ISO; Optimization; Power grids; Wind forecasting; Wind power generation; Day-ahead scheduling; EV mobility; variability of wind energy; vehicle-to-grid (V2G);
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2230345