TY - JOUR
T1 - When smart grid meets PHEVs
T2 - a smart load distribution mechanism in smart grid
AU - Xing, Kai
AU - Zhang, Fengjuan
AU - Liang, Yi
AU - Chen, Dechang
N1 - Publisher Copyright:
© 2014, Springer-Verlag London.
PY - 2014/12
Y1 - 2014/12
N2 - Along with the increasing popularity of electric vehicles caused by economic and environmental incentives, the penetration of plug-in hybrid electric vehicles (PHEVs) poses a great threat to the power grid, especially to the aggregated load in the power system. Motivated by this observation, in this paper, we analyze the impact of large-scale usage of PHEVs and address the load distribution problem by solving a decentralized optimization problem and smoothening the peak load with pricing strategies in the power grid. We also investigate the influence of charging time and charging mode on load distribution, as the charging price varies with the changes of these two factors. Our simulation study on PJM’s data warehouse shows that the proposed strategies can well smooth the peak load by pricing on the charging time and mode. The results also indicate that our strategies always distribute the load in a smoother manner at a smaller load fluctuation compared with other schemes (e.g., First Come First Service and PMCS) and thus improving the stability and reliability of the power grid.
AB - Along with the increasing popularity of electric vehicles caused by economic and environmental incentives, the penetration of plug-in hybrid electric vehicles (PHEVs) poses a great threat to the power grid, especially to the aggregated load in the power system. Motivated by this observation, in this paper, we analyze the impact of large-scale usage of PHEVs and address the load distribution problem by solving a decentralized optimization problem and smoothening the peak load with pricing strategies in the power grid. We also investigate the influence of charging time and charging mode on load distribution, as the charging price varies with the changes of these two factors. Our simulation study on PJM’s data warehouse shows that the proposed strategies can well smooth the peak load by pricing on the charging time and mode. The results also indicate that our strategies always distribute the load in a smoother manner at a smaller load fluctuation compared with other schemes (e.g., First Come First Service and PMCS) and thus improving the stability and reliability of the power grid.
KW - Load distribution
KW - PHEVs
KW - Power grid
KW - Price charging
UR - http://www.scopus.com/inward/record.url?scp=84920113036&partnerID=8YFLogxK
U2 - 10.1007/s00779-014-0790-3
DO - 10.1007/s00779-014-0790-3
M3 - Article
AN - SCOPUS:84920113036
SN - 1617-4909
VL - 18
SP - 1917
EP - 1928
JO - Personal and Ubiquitous Computing
JF - Personal and Ubiquitous Computing
IS - 8
ER -