Two-Stage Admission and Scheduling Mechanism for Electric Vehicle Charging

Yuchang Wang, John Thompson

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In order to provide an efficient charging service to
future electric vehicles, it is important for the charging station
to estimate its available capacity. As the charging station usually
has a fixed number of chargers and a limited charging capacity, it
cannot accommodate all the arriving cars. Thus, a decision has to
be made by the charging station whether a new arriving car can
be admitted and then be scheduled for charging. This not only
depends on the charging station’s physical constraints but also
depends on how certain the charging station is towards its energy
supply. We study the problem of EV charging using various
energy sources (such as energy from the grid, renewable energy
such as solar photovoltaic panels, and local energy storage) and
their impacts on the charging station’s performance. Unlike
the energy from the grid, solar generation varies with time
and cannot be predicted precisely. To this end, we introduce
a multiplier k to measure the effect of solar prediction error
and a composite performance index (the Figure of Merit) to
capture the charging station’s utility, also taking account of EVs’
charging requirements.We further propose a two-stage admission
and scheduling mechanism to find the optimal trade-off between
accepting EVs and missing charging deadlines by determining
the best value of k under various energy supply scenarios.
Original languageEnglish
Pages (from-to)2650-2660
JournalIEEE Transactions on Smart Grid
Early online date16 Feb 2018
DOIs
Publication statusPublished - 1 May 2019

Fingerprint

Dive into the research topics of 'Two-Stage Admission and Scheduling Mechanism for Electric Vehicle Charging'. Together they form a unique fingerprint.

Cite this