Ricerc@Sapienza

The need for efficient integration of an Electric Vehicles (EVs) public transportation system into Smart Grids (SGs), has sparked the idea to equip them with Renewable Energy Systems (RESs), in order to reduce their impact on the SG. As a consequence, an EV can be seen as a Nanogrid (NG) whose energy flows are optimized by an Energy Management System (EMS). In this work, an EMS for an electric boat is synthesized by a Fuzzy Inference System-Hierarchical Genetic Algorithm (FIS-HGA). The electric boat follows cyclic routes day by day.

The home and building automation systems evolution, creates the necessity to define new formalities for the clear and univocal description of their functionalities. To describe the operation of such a system, it is necessary therefore to add a further level that keeps in mind the logical connections among devices and their configurations. The addition of this level makes unambiguous the description of the plant functionalities.