DocumentCode
690755
Title
Strategies of residential peak shaving with integration of demand response and V2H
Author
Long Zhao ; Aravinthan, Visvakumar
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
1
Lastpage
5
Abstract
Plug-in electric vehicles (PEVs) have the potential to be used as storage devices to mitigate some of the grid level impacts, especially at the residential level. Since primary usage of electric vehicle battery is for transportation, it is important to optimize the life of the battery and energy discharge to the grid (V2G). The smart grid initiative requires active consumer participation through demand side management. Proper V2G application combined with demand response (DR) could improve some of the system level concerns such as peak shaving and flexible loading. This work proposes a vehicle-to-house (V2H) charge management based on demand side management scheme to minimize the peak loading at each individual house using a model based control design. GridLab-D is used to evaluate the model which shows such a scheme has the potential to reduce the peak.
Keywords
battery powered vehicles; demand side management; smart power grids; DR; GridLab-D model; PEV; V2G; V2H charge management; demand response; demand side management scheme; electric vehicle battery; energy discharge; grid level impact mitigation; model based control design; plug-in electric vehicle; residential peak shaving strategy; smart grid; storage device; transportation; vehicle-to-house charge management; Batteries; Degradation; Home appliances; Load management; Load modeling; System-on-chip; demand response (DR); electric vehicle (EV); peak shaving; vehicle-to-grid (V2G); vehicle-to-home (V2H);
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location
Kowloon
Type
conf
DOI
10.1109/APPEEC.2013.6837260
Filename
6837260
Link To Document