Title
Optimizing Electric Vehicle Charging With Energy Storage in the Electricity Market
Abstract
The Information and Communication Technologies (ICT) that are currently under development for future smart grid systems can enable load aggregators to have bidirectional communications with both the grid and Electric Vehicles (EVs) to obtain real-time price and load information, and to adjust EV charging schedules in real time. In addition, Energy Storage (ES) can be utilized by the aggregator to mitigate the impact of uncertainty and inaccurate prediction. In this paper, we study a problem of scheduling EV charging with ES from an electricity market perspective with joint consideration for the aggregator energy trading in the day-ahead and real-time markets. We present a Mixed Integer Linear Programming (MILP) model to provide optimal solutions as well as a simple polynomial-time heuristic algorithm based on LP rounding. In addition, we present a communication protocol for interactions among the aggregator, the ES, the power grid, and EVs, and demonstrate how to integrate the proposed scheduling approach in real-time charging operations. Extensive simulation results based on real electricity price and load data have been presented to justify the effectiveness of the proposed approach and to show how several key parameters affect its performance.
Year
DOI
Venue
2013
10.1109/TSG.2012.2218834
IEEE Trans. Smart Grid
Keywords
Field
DocType
bidirectional communication,ict,mixed integer linear programming model,protocols,polynomial-time heuristic algorithm,milp model,es,load aggregators,electricity market,aggregator energy trading,optimal solutions,integer programming,battery powered vehicles,smart grid systems,real-time market,linear programming,heuristic programming,electric vehicle charging optimization,demand response mechanisms,ev charging,communication protocol,smart power grids,smart grid,energy storage,electric vehicle,power markets,day-ahead market,load information,polynomials,real-time price,power grid,electricity,system on a chip,real time systems
Energy storage,Electricity market,Mathematical optimization,News aggregator,Smart grid,Electric vehicle,Control engineering,Integer programming,Schedule,Engineering,Grid,Embedded system
Journal
Volume
Issue
ISSN
4
1
1949-3053
Citations 
PageRank 
References 
31
1.77
5
Authors
3
Name
Order
Citations
PageRank
Chenrui Jin1704.97
Jian Tang2109574.34
Prasanta Kumar Ghosh315632.78