DocumentCode :
1759913
Title :
Randomized PHEV Charging Under Distribution Grid Constraints
Author :
Kan Zhou ; Lin Cai
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
Volume :
5
Issue :
2
fYear :
2014
fDate :
41699
Firstpage :
879
Lastpage :
887
Abstract :
Plug-in Hybrid Electrical Vehicles (PHEV) are promising to improve energy efficiency and environment friendliness. However, without proper control, their charging will cause harmful impact on the power distribution grid, including load congestion and voltage drop. Instead of using centralized optimization which may need accurate predictions on key parameters, in this paper, a new decentralized random access framework is introduced to schedule the PHEV charging. The proposed distributed solution does not need accurate predictions and can be executed online. Simulation on a semi-urban residential medium voltage grid shows that our algorithm can effectively provide demand response to protect the distribution grid from bus congestion and voltage drop, and also improve its efficiency. Most importantly, this algorithm is simple to deploy.
Keywords :
hybrid electric vehicles; multivariable systems; power distribution control; power generation scheduling; smart power grids; PHEV charging scheduling; bus congestion; centralized optimization; decentralized random access framework; demand response; load congestion; plug-in hybrid electrical Vehicles; power distribution grid; randomized PHEV charging; semiurban residential medium voltage grid; voltage drop; Delays; Load management; Load modeling; Medium voltage; Optimization; Prediction algorithms; Vehicles; Decentralized/randomized PHEV charging; demand response; distribution grid; smart grid;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2293733
Filename :
6734729
Link To Document :
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