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https://doi.org/10.1109/vppc.2...
Article . 2010 . Peer-reviewed
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Conference object . 2011
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Loss analysis of vehicle-to-grid operation

Authors: Chau, KT; Wu, D; Gao, S; Chan, CC;

Loss analysis of vehicle-to-grid operation

Abstract

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.

Country
China (People's Republic of)
Related Organizations
Keywords

Distribution grid, Plug-in hybrid electric vehicle, Vehicle-to-grid operation, Power loss minimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average