DocumentCode :
135307
Title :
The sensitivity of vehicle-to-grid revenues to plug-in electric vehicle battery size and EVSE power rating
Author :
Harris, Chioke B. ; Webber, Michael E.
Author_Institution :
Dept. of Mech. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
This work uses a two-stage stochastic program (SP) to simulate a vehicle-to-grid (V2G) system operator participating in an electricity market to provide frequency regulation. The model developed for this work challenges four principal assumptions used in V2G models in the literature: the V2G system operator as a price taker; pre-scheduled vehicle use; deterministic vehicle state-of-charge; and deterministic regulation deployments. The results shown focus specifically on the effect of PEV battery size and PEV charging station (EVSE) power rating on V2G operator revenues and potential compensation for V2G program participants. These results indicate that battery size has a limited effect, but that increasing EVSE power rating can significantly increase revenues and compensation. Consequently, for the battery sizes in most PEVs, the V2G operator´s market participation is constrained by available power, not energy, which is consistent with the magnitudes and time scales of typical frequency regulation deployments.
Keywords :
battery powered vehicles; frequency control; stochastic programming; EVSE power rating; PEV charging station; V2G system operator; deterministic regulation deployments; deterministic vehicle state-of-charge; electricity market; frequency regulation deployments; plug-in electric vehicle battery size; two-stage stochastic program; vehicle-to-grid revenues; Batteries; Electricity supply industry; Frequency control; Real-time systems; Stochastic processes; Vehicles; frequency regulation; plug-in electric vehicle (PEV); stochastic programming; vehicle-to-grid (V2G);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939251
Filename :
6939251
Link To Document :
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