OPTIMIZATION OF CHARGING STATION WITH INTEGRATED ROOFTOP PHOTOVOLTAIC SYSTEM
Abstract
In recent years, the increasing demand for electric vehicles has prompted
the construction of large charging stations in offices, office buildings, or
apartment buildings, which will put significant pressure on the distribution grid
in that area. Therefore, integrating electric vehicle (EV) charging stations with
rooftop solar power (PV) systems can solve this problem effectively. However,
the characteristic of solar energy is that it depends on the weather and is only
generated during the day, with the generation capacity changing quite a lot,
very large in the afternoon but insignificant in the early morning and late
afternoon. Therefore, it is necessary to develop an intelligent charging plan for
electric vehicles to make the most of the PV system's available power output and
reduce the impact of the charging station on the distribution grid. This paper
focuses on determining the optimal electric vehicle charging plan using a Mixed
Integer Quadratic Programming model (MIQP), which is performed on GAMS and
CPLEX software. This model considers the needs and habits of customers using
electric vehicles. The results were analyzed and evaluated to show that the study
has high practical significance.