The penetration of plug-in electric vehicles (PEV) into near-future traffic and power infrastructure is expected to be large enough to have a serious impact on the grid. If each PEV arrives at home and charges immediately, the distribution network can incur in serious problems. Therefore, the charging process of the PEVs has to be coordinated, on the basis of the grid capabilities, generation and pricing. In this paper, we put forward a computational monetary market intended as an automatic scheduler for the charging problem. The market is designed so as i) to satisfy the constraints of the distribution network, ii) to guarantee a reasonable level of fairness and allocation efficiency, while at the same time iii) to give the possibility to each PEV to transiently increase its share of the charging capacity of the local distribution network when needed.
[1]
William E. Weihl,et al.
Lottery scheduling: flexible proportional-share resource management
,
1994,
OSDI '94.
[2]
Tom Holvoet,et al.
Decentralized demand side management of plug-in hybrid vehicles in a Smart Grid
,
2010
.
[3]
Ahmad Faruqui,et al.
The Power of Dynamic Pricing
,
2009
.
[4]
W. Arthur.
Inductive Reasoning and Bounded Rationality
,
1994
.
[5]
Yann Chevaleyre,et al.
Issues in Multiagent Resource Allocation
,
2006,
Informatica.
[6]
Liz Sonenberg.
Online Mechanism Design for Electric Vehicle Charging
,
2011
.
[7]
S. Rahman.
Analysis of the impact of PHEVs on the electric power distribution network
,
2010,
IEEE PES T&D 2010.