Nowadays, the transition to a more sustainable energy and transport system is necessary. This work faces this theme at a district level, considering a residential neighborhood of a big metropolitan area and proposing a model for a Smart Residential District. The optimum quantities of installed power are calculated thanks to an optimization procedure based on a Genetic Algorithm: A non-deterministic technique allowing to reach the global optimum in a fast way and without strong computational efforts.

A study of the integration of Distributed Generation and EVs in smart cities

Brenna, Morris;Foiadelli, Federica;Longo, Michela;Zaninelli, Dario
2017-01-01

Abstract

Nowadays, the transition to a more sustainable energy and transport system is necessary. This work faces this theme at a district level, considering a residential neighborhood of a big metropolitan area and proposing a model for a Smart Residential District. The optimum quantities of installed power are calculated thanks to an optimization procedure based on a Genetic Algorithm: A non-deterministic technique allowing to reach the global optimum in a fast way and without strong computational efforts.
2017
2017 International Conference of Electrical and Electronic Technologies for Automotive
9788887237269
Distributed generation; electric vehicles; genetic algorithm; smart cities; Computer Networks and Communications; Automotive Engineering; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1038247
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