TY - GEN
T1 - Loss analysis of vehicle-to-grid operation
AU - Gao, Shuang
AU - Chau, K. T.
AU - Chan, C. C.
AU - Wu, Diyun
PY - 2010
Y1 - 2010
N2 - The plug-in hybrid electric vehicle (PHEV) with vehicle-to-grid (V2G) capability is becoming increasingly popular and can be expected to deploy in a large scale. According to the estimation of PHEV penetration degree and the charging characteristics, the modeling of distribution grid with extra load of PHEV charging is formulated first. The PHEVs plugged into the grid, when aggregated in a considerable number, constitute a new load. The impacts of this extra load on the grid are analyzed by power flow simulation in terms of power losses and voltage variation. Uncontrolled charging and optimal charging scenarios are compared in the 33-bus test system. The results indicate the possible problem caused by charging PHEVs and the necessity of building a new control scheme to schedule the generation and the charging profile in the grid. Thus the optimization algorithm is designed to minimize the power losses, and enhance the power quality of the grid as well. The improved model with further constraints for practical application of V2G is discussed. In this model, the ability to schedule both charging and discharging of PHEVs with V2G technology is presented.
AB - The plug-in hybrid electric vehicle (PHEV) with vehicle-to-grid (V2G) capability is becoming increasingly popular and can be expected to deploy in a large scale. According to the estimation of PHEV penetration degree and the charging characteristics, the modeling of distribution grid with extra load of PHEV charging is formulated first. The PHEVs plugged into the grid, when aggregated in a considerable number, constitute a new load. The impacts of this extra load on the grid are analyzed by power flow simulation in terms of power losses and voltage variation. Uncontrolled charging and optimal charging scenarios are compared in the 33-bus test system. The results indicate the possible problem caused by charging PHEVs and the necessity of building a new control scheme to schedule the generation and the charging profile in the grid. Thus the optimization algorithm is designed to minimize the power losses, and enhance the power quality of the grid as well. The improved model with further constraints for practical application of V2G is discussed. In this model, the ability to schedule both charging and discharging of PHEVs with V2G technology is presented.
KW - Distribution grid
KW - Plug-in hybrid electric vehicle
KW - Power loss minimization
KW - Vehicle-to-grid operation
UR - http://www.scopus.com/inward/record.url?scp=79953128729&partnerID=8YFLogxK
U2 - 10.1109/VPPC.2010.5729072
DO - 10.1109/VPPC.2010.5729072
M3 - Conference article published in proceeding or book
AN - SCOPUS:79953128729
SN - 9781424482191
T3 - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
BT - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
T2 - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
Y2 - 1 September 2010 through 3 September 2010
ER -