Paper Info
Title
Efficient optimal scheduling of charging station with multiple electric vehicles via V2V
Abstract
This paper investigates the scheduling problem of an intermediary charging station with multiple electric vehicles (EV) in real-time electricity pricing environment. A charging aggregator (CA) is in charge to coordinate EVs' charging so that all EVs' requirements are met and meanwhile the total social cost is minimized. Besides, a new charging mechanism named Vehicle-to-Vehicle (V2V) is proposed to take full advantage of every EV's battery energy. Due to the binary state of EVs, i.e., charging and discharging, scheduling of the charging station is formulated as a constrained mixed-integer linear program (MILP). A distributed algorithm is applied to solve the problem by means of dual decomposition and Benders decomposition. Therefore, scheduling is carried out on each EV and coordinated by the CA. Numerical results show efficiency of the proposed approach and validate our theoretical analysis.
Year
DOI
Venue
2014
10.1109/SmartGridComm.2014.7007732
SmartGridComm
Keywords
Field
DocType
charging aggregator,scheduling,distributed algorithm,charging station,optimal scheduling,constrained mixed-integer linear program,benders decomposition,v2v,real-time electricity pricing environment,dual decomposition,integer programming,battery powered vehicles,linear programming,multiple electric vehicles,vehicle-to-vehicle charging mechanism,pricing,real time systems,smart grids,electricity
Job shop scheduling,Fair-share scheduling,Smart grid,Scheduling (computing),Electricity,Charging station,Real-time computing,Distributed algorithm,Linear programming,Engineering
Conference
ISSN
Citations 
PageRank 
2373-6836
2
0.40
References 
Authors
7
2
Name
Order
Citations
PageRank
Pengcheng You1356.68
Zaiyue Yang2253.48