Today, innovative Smart Grids work in synergy with Electric Vehicle (EV) infrastructures, not only for a sustainable mobility, but also for their flexibility in supporting the electric grid. These technologies are adopted by many institutional and university campuses to reduce the primary energy consumption, increase the renewable source exploitation and provide a green mobility. The aim of this work, after a presentation of the Smart MicroGrid project at the Savona Campus of the Genoa University, is focused on the storage systems in a local smart microgrid. In particular, the purpose of the present work is the evaluation of the role of electric vehicles to replace or improve part of fixed storage batteries in order to reduce operating costs of the whole energy infrastructure.

Smart microgrids in smart campuses with electric vehicles and storage systems: Analysis of possible operating scenarios

BRENNA, MORRIS;FOIADELLI, FEDERICA;LONGO, MICHELA;
2016-01-01

Abstract

Today, innovative Smart Grids work in synergy with Electric Vehicle (EV) infrastructures, not only for a sustainable mobility, but also for their flexibility in supporting the electric grid. These technologies are adopted by many institutional and university campuses to reduce the primary energy consumption, increase the renewable source exploitation and provide a green mobility. The aim of this work, after a presentation of the Smart MicroGrid project at the Savona Campus of the Genoa University, is focused on the storage systems in a local smart microgrid. In particular, the purpose of the present work is the evaluation of the role of electric vehicles to replace or improve part of fixed storage batteries in order to reduce operating costs of the whole energy infrastructure.
IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings
9781509018451
9781509018451
Electric vehicles; Electrical storage systems; Renewable energy sources; Smart microgrids; Urban Studies; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1009210
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