Thesis title: Optimal Energy Management and Performance Evaluation of an Integrated Mobility System: the "Life for Silver Coast" Case Study.
Nowdays, Climate Change and Global Warming are very relevant issues and
Humankind is going to rely on Renewable Energy Sources (RESs) for
mitigating environmental impacts. RESs exploitation implies the adoption of
a Distributed Energy Generation (DEG), implemented through local electrical
grids called Microgrids (MGs). The intent of harvesting as much as energy
possible, dealing with the RESs unpredictable nature, makes researchers
develop suitable ICT systems (Energy Management Systems or EMSs). Smart
Grids (SGs) are systems of many MGs, thanks to which a whole urban area
can perform an efficient energy management. Energy Communities, made up
of companies, research centres and Universities strive to design and realize
SGs, in a sustainable development vision.
In this context, the sustainable mobility system realized in the "LIFE for
Silver Coast" European Project is a very good test bench for EMSs synthesis.
In fact, Electric Vehicles (EVs) and charging stations will be integrated in the
area and managed through proprietary EMSs. In addition, the achieved
knowhow can be used by the Energy Community to develop Smart Grids, not
only in the same area.
In this thesis, the Evolutionary Fuzzy System (EFS) paradigm is applied for
the synthesis of an EMS. In particular, a double-step optimization
Hierarchical Genetic Algorithm (HGA) procedure is implemented for
reducing the computational cost. The resulting Fuzzy Inference System-
Genetic Algorithm (FIS-GA) is tested for the onboard optimal energy
management of the LIFE "Valentino" Class e-boat, with the purpose of
implementing the same EMS in a residential MG. In addition, a Life Quality
indicators application for mobility system is presented.