Alessio Iovine

Nonlinear Control of a DC MicroGrid for the Integration of Photovoltaic Panels

New connection constraints for the power network (grid codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic (PV) arrays. The interconnection of such renewables with storage systems through a direct current (DC) MicroGrid can fulfill these requirements. A “Plug and Play” approach based on the “System of Systems” philosophy using distributed control methodologies is developed in this paper. This approach allows to interconnect a number of elements to a DC MicroGrid as power sources, such as PV arrays, storage systems in different time scales, such as batteries and supercapacitors, and loads, such as electric vehicles and the main ac grid. The proposed scheme can easily be scalable to a much larger number of elements.

Safe Human-Inspired Mesoscopic Hybrid Automaton for Longitudinal Vehicle Control

In this paper a mesoscopic hybrid automaton is introduced in order to obtain a human-inspired based adaptive cruise control.

An adaptive strategy to mitigate instability in the ETSI DCC: Experimental validation

Cooperative Intelligent Transport System (C-ITS) applications need a continuous exchange of information between road users and roadside infrastructures. In this regard European Telecommunications Standards Institute (ETSI) has standardized the Cooperative Awareness Basic Service where status messages named Cooperative Awareness Messages (CAMs) are constructed, managed and processed. With the regular exchange of CAM messages, vehicles and roadside units are constantly informed about each others position, dynamics and attributes. Due to this massive dissemination of messages, without properly congestion control, the functionality of both safety and traffic-management C-ITS applications can be compromised. In this paper we consider the ETSI Decentralized Congestion Control (DCC) mechanism and propose a new approach to cope with relative oscillation and unfairness problems. In the proposed solution vehicles adapt their behaviour and DCC decisions according to the surrounding road traffic conditions. DCC functionality and the presented solution have been then validated through an experimental, ITS G5-compliant testbed consisting of real world devices. The obtained results show an improvement in DCC performances, evaluated in terms of machine status and Channel Busy Ratio (CBR) oscillations.

Nonlinear control of an AC-connected DC MicroGrid

New connection constraints for the power network (Grid Codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic arrays. A solution for interconnecting such renewables to the main grid is to use storage systems and a Direct Current (DC) MicroGrid. A “Plug and Play” approach based on the “System of Systems” philosophy using distributed control methodologies is developed in the present work. This approach allows to interconnect a number of elements to a DC MicroGrid as power sources like photovoltaic arrays, storage systems in different time scales like batteries and supercapacitors, and loads like electric vehicles and the main AC grid. The proposed scheme can easily be scalable to a much larger number of elements.