  Charging demands of electric vehicles (EVs) are sharply increasing due to the
rapid development of EVs. Hence, reliable and convenient quick charge stations
are required to respond to the needs of EV drivers. Due to the uncertainty of
EV charging loads, load forecasting becomes vital for the operation of quick
charge stations to formulate the day-ahead plan. In this paper, based on trip
chain theory and EV user behaviour, an EV charging load forecasting model is
established for quick charge station operators. This model is capable of
forecasting the charging demand of a city-located quick charge station during
the next day, where the Monte-Carlo simulation method is applied. Furthermore,
based on the forecasting model, a day-ahead profit-oriented operation strategy
for such stations is derived. The simulation results support the effectiveness
of this forecasting model and the operation strategy. The conclusions of this
paper are as follows: 1) The charging load forecasting model ensures operators
to grasp the feature of the charging load of the next day. 2) The revenue of
the quick charge station can be dramatically increased by applying the proposed
day-head operation strategy.
