DocumentCode
41581
Title
Synergistic control of plug-in vehicle charging and wind power scheduling
Author
Chiao-Ting Li ; Changsun Ahn ; Huei Peng ; Jing Sun
Author_Institution
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Volume
28
Issue
2
fYear
2013
fDate
May-13
Firstpage
1113
Lastpage
1121
Abstract
Significant synergy exists between plug-in electric vehicles (PEVs) and wind energy: PEVs can be the demand response to mitigate the intermittent wind power outputs, and wind energy can provide low-carbon electricity to PEVs. This paper presents a hierarchical control algorithm to realize this synergy by integrating the PEV charging and wind power scheduling. The control algorithm consists of three levels: the top-level controller optimizes the scheduling for the conventional power plants and wind power; the middle-level controller plans PEV charging to achieve load following based on the battery state of charge and plug-off time of each vehicle; the bottom-level controller uses grid electricity frequency as the feedback cue to control PEV charging and serves as the ancillary service to the grid. Numerical simulations show that the integrated controller can improve the grid frequency regulation and overall electricity generation cost without sacrificing the PEVs charging completion.
Keywords
battery powered vehicles; costing; power generation control; power generation economics; power generation scheduling; power grids; wind power plants; PEV charging control; ancillary service; battery state-of-charge; bottom-level controller; conventional power plants; demand response; feedback cue; grid electricity frequency; grid frequency regulation; hierarchical control algorithm; integrated controller; intermittent wind power output mitigation; low-carbon electricity; middle-level controller; overall electricity generation cost; plug-in vehicle charging; synergistic control; top-level controller; vehicle plug-off time; wind energy; wind power scheduling; Electric vehicles; Optimal scheduling; Power grids; Wind energy; Wind forecasting; Wind power generation; Charging of electric vehicles; electricity grid; grid integration; plug-in electric vehicles; smart grid; wind energy;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2211900
Filename
6299004
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