Electric vehicle charge optimization using ant colony optimization

Abstract

In this project, we are going to investigate a topic that will be of great importance in the coming years, such as the management of the charging of electric cars. It is nothing new that the trend in the automotive sector is towards a future in which electric vehicles will predominate, which can be a problem for the current electricity grid due to the increase in energy demand produced by the charging of these cars. Therefore, it is necessary to investigate different charging methods in order not to saturate the grid. In this work, research has been carried out about the problem mentioned above, proposing an optimization algorithm which is able to manage the charging process of a fleet of cars in a charging car park for electric cars, based on the paper " Electric vehicle charging under power and balance constraints as dynamic scheduling" [7]. In the first part of the work, an extensive state of the art about the most important optimisation algorithms in use today is made, explaining what they are based on and giving a brief explanation of how they work. Then, the problem that has been investigated with this work is described, the optimisation of the electric car charging using the ant colony algorithm (ACO). In addition, the results obtained are analysed and the parts of the work that can be improved in future