DocumentCode :
1314354
Title :
Load Scheduling and Dispatch for Aggregators of Plug-In Electric Vehicles
Author :
Wu, Di ; Aliprantis, Dionysios C. ; Ying, Lei
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume :
3
Issue :
1
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
368
Lastpage :
376
Abstract :
This paper proposes an operating framework for aggregators of plug-in electric vehicles (PEVs). First, a minimum-cost load scheduling algorithm is designed, which determines the purchase of energy in the day-ahead market based on the forecast electricity price and PEV power demands. The same algorithm is applicable for negotiating bilateral contracts. Second, a dynamic dispatch algorithm is developed, used for distributing the purchased energy to PEVs on the operating day. Simulation results are used to evaluate the proposed algorithms, and to demonstrate the potential impact of an aggregated PEV fleet on the power system.
Keywords :
battery powered vehicles; load dispatching; load forecasting; power markets; pricing; PEV power demands; day-ahead market; forecast electricity price; load dispatch; load scheduling; minimum-cost load scheduling algorithm; negotiating bilateral contracts; plug-in electric vehicles; power system; Batteries; Contracts; Electricity; Heuristic algorithms; Power demand; Vehicles; Electric vehicles; power demand; power system economics; smart grids;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2011.2163174
Filename :
6009220
Link To Document :
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