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.File in questo prodotto:
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