| dc.description.abstract | Around the world, Climate Change has driven a growing trend in the use of renewable energies.
Within the set of initiatives to reduce carbon emissions, the use of electric vehicles plays an important
role, because they can deliver zero emission of polluting gases and they promote the development
of renewable energy sources which are necessary to recharge their batteries. Ecuador, due to its
geographical characteristics and specially by its water resources, has a capacity to generate enough
electricity to cover the country’s current demand, therefore this is a convenient region to support the
introduction of EVs. Although the use of electric vehicles brings great advantages in terms of reducing
environmental impacts, it is necessary to take into account the potential problems that their mass
introduction will cause in the country’s electricity grid, where an expected result would be the high
demand for power consumption during peak hours.
Thus, next work focuses on the analysis and development of a primary frequency regulation
algorithm during the slow charging process of electric vehicles. The proposed algorithm aims to help
reduce the generation/demand difference which would allow maintaining the quality of the electricity
grid within the ranges established by the CONELEC.
The slow charging station used for this work operates with a maximum power of 4.8kW, but is
possible to reduce it according of the grid’s features and the vehicule which is charging at the same
time, such as reductions in the frequency due to overloads in the grid. At this point is where the
primary frequency control comes into play,in this research the frequency measurement algorithm known
as Fast Fourier Transform is used, which was implemented in an Arduino Due and whose response
allows modifying the load reference sent to the electric vehicle.
Experimental tests for this thesis were carried out in the Balzay Micro grid Laboratory of the
University of Cuenca, which has the necessary equipment for its development. The implementation of
the algorithm exhibit positive results, since the decrease in power consumption of the electric vehicle
took place within the established ranges, where for every 0.3 Hz reduced in the frequency of electricity
grid, power consumption of the electric vehicle was reduced 12.5 %.
In addition, the response time that the algorithm requires to reduce the power consumption was
measured, which is 10 seconds and this is within the operating range of the primary frequency control | |
