Mathur, Anil Kumar and Yemula, Pradeep Kumar
(2018)
Scheduling of EV Charging in Grid-Connected
Parking Lots with Renewable Sources.
Masters thesis, Indian Institute of Technology Hyderabad.
Abstract
The growing concern about environmental issues is leading many countries to take measures that
allow a more rational energy usage and for a more sustainable future. The improvement of systems
e�ciency and the use of renewable sources are some points to work on to reduce greenhouse gas
emissions. That is why electric mobility is drawing the attention of companies, countries and research
groups, as an important measure to face the negative consequences derived from the current energy
usage. It is clear that the inclusion of electric vehicles will strongly a�ect the operation, management,
and planning of current electric power systems. Firstly, an additional load will have to be considered,
the electric vehicles charging. In an initial stage, when the deployment of electric vehicles is not
signi�cant, special measures will not be required. However, in the future with thousands of vehicles
in operation, ad-hoc electric vehicle charging can lead to line congestion or voltage limits violation.
Moreover, an update of the current electric power systems regarding more advanced information
and communication technologies, better metering devices, as well as the presence of more renewable
sources are required for the suitable integration of electric vehicles.
The increasing number of electric vehicles (EV) means there is a growing need for charging
stations as well. A potential solution to address the need for charging stations is to transform traditional
parking lots into smart parking lots. Due to the inherently complex and dynamic environment,
a potential obstacle, from a business perspective to the process of transforming parking lots into
smart parking lots is the complexity of estimating the pro�t of the smart parking lots owner and,
consequently, the length of time required to recover the cost of the initial investment. We propose a
simulation approach to estimate the smart parking lot owners pro�t during a certain period of time.
Thus, this thesis is intended to cover the problem of signi�cant increase in electric vehicles arriving
at the parking lot leading to a challenge for scheduling of vehicles for charging. The primary objective
of parking lot owner is to charge more vehicles and increase pro�t. But due to stringent rules from
regulators for network upgrades, increase in the number of charging slots is challenging. Installing
a distributed generation like solar microgrid will bene�t from allowing many vehicles to charge at
the parking lot. This thesis aims in proposing an algorithm called parking lot management system
(PLMS) and charging management system (CMS) for scheduling of electric vehicles with the support
of solar generation with the objective of minimizing the power drawl from the grid during high peak
pricing period. Power drawl from the grid is reduced by using the solar power available. Since
the power drawl from the grid is reduced, it is obvious that the pro�t of the parking lot owner is
increased. scheduling is done by shifting the cars to the abundant solar power period and reducing
the peaks on the grid which helps the utility operator. The proposed algorithm is simulated using
MATLAB programming, and the results are presented.
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