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EnglishThe present paper proposes a methodology for the optimal simultaneous choice of allocation and sizing of Fast Charging Stations for electric vehicles. The methodology is implemented by a Multi-Objective optimization algorithm, based on the Non-dominated Sorting Genetic Algorithm, and by using by using a probabilistic load flow. The optimised planning procedure of two coupled electrical distribution and transportation systems is applied to a case study and the results are presented to demonstrate the feasibility and consistency of the developed models used to implement the method. This approach gives the opportunity to find a proper trade-off between the conflicting interests of different stakeholders, such as the Distribution Network Operator, the Fast Charging Stations owners and the Plug-in Electric Vehicles drivers.
| Titolo: | Multi-objective integrated planning of fast charging stations |
| Autori interni: | CONTI, Stefania [Membro del Collaboration Group] |
| Data di pubblicazione: | 2019 |
| Handle: | http://hdl.handle.net/20.500.11769/371739 |
| ISBN: | 978-8-8872-3743-6 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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