Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids

Emanuele Ferrandino, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi

2020

Abstract

The need for efficient integration of an Electric Vehicles (EVs) public transportation system into Smart Grids (SGs), has sparked the idea to equip them with Renewable Energy Systems (RESs), in order to reduce their impact on the SG. As a consequence, an EV can be seen as a Nanogrid (NG) whose energy flows are optimized by an Energy Management System (EMS). In this work, an EMS for an electric boat is synthesized by a Fuzzy Inference System-Hierarchical Genetic Algorithm (FIS-HGA). The electric boat follows cyclic routes day by day. Thus, single day training and test sets with a very short time step are chosen, with the aim of reducing the computational cost, without affecting accuracy. A convex optimization algorithm is applied for benchmark tests. Results show that the EMS succesfully performs the EV energy flows optimization. It is remarkable that the EMS achieves good performances when tested on different days than the one it has been trained on, further reducing the computational cost.

Paper Citation

in Harvard Style

Ferrandino E., Capillo A., Mascioli F. and Rizzi A. (2020). Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids.In Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS, ISBN 978-989-758-475-6, pages 512-520. DOI: 10.5220/0010110005120520

in Bibtex Style

@conference{ci4ems20,
author={Emanuele Ferrandino and Antonino Capillo and Fabio Mascioli and Antonello Rizzi},
title={Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids},
booktitle={Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS,},
year={2020},
pages={512-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010110005120520},
isbn={978-989-758-475-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS,
TI - Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids
SN - 978-989-758-475-6
AU - Ferrandino E.
AU - Capillo A.
AU - Mascioli F.
AU - Rizzi A.
PY - 2020
SP - 512
EP - 520
DO - 10.5220/0010110005120520