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
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