The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid

The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for t...

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Main Authors: Riccardo Iacobucci, Benjamin McLellan, Tetsuo Tezuka
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/8/2016
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spelling doaj-184f1c372402410a94b48e3207df8fde2020-11-24T21:19:22ZengMDPI AGEnergies1996-10732018-08-01118201610.3390/en11082016en11082016The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and MicrogridRiccardo Iacobucci0Benjamin McLellan1Tetsuo Tezuka2Graduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, JapanGraduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, JapanGraduate School of Energy Science, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, JapanThe introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for this system to provide aggregated storage when combined with intermittent renewable energy sources. We develop a simulation methodology for the optimization of vehicle charging in the context of a virtual power plant or microgrid, with and without grid connection or distributed dispatchable generators. The model considers aggregate storage availability from vehicles based on transport patterns taking into account the necessary vehicle redistribution. We investigate the case of a grid-connected VPP with rooftop solar and the case of a isolated microgrid with solar, wind, and dispatchable generation. We conduct a comprehensive sensitivity analysis to study the effect of several parameters on the results for both cases.http://www.mdpi.com/1996-1073/11/8/2016shared transportationelectric vehiclesrenewable energyvehicle-to-gridcharge optimization
collection DOAJ
language English
format Article
sources DOAJ
author Riccardo Iacobucci
Benjamin McLellan
Tetsuo Tezuka
spellingShingle Riccardo Iacobucci
Benjamin McLellan
Tetsuo Tezuka
The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
Energies
shared transportation
electric vehicles
renewable energy
vehicle-to-grid
charge optimization
author_facet Riccardo Iacobucci
Benjamin McLellan
Tetsuo Tezuka
author_sort Riccardo Iacobucci
title The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
title_short The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
title_full The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
title_fullStr The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
title_full_unstemmed The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid
title_sort synergies of shared autonomous electric vehicles with renewable energy in a virtual power plant and microgrid
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-08-01
description The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for this system to provide aggregated storage when combined with intermittent renewable energy sources. We develop a simulation methodology for the optimization of vehicle charging in the context of a virtual power plant or microgrid, with and without grid connection or distributed dispatchable generators. The model considers aggregate storage availability from vehicles based on transport patterns taking into account the necessary vehicle redistribution. We investigate the case of a grid-connected VPP with rooftop solar and the case of a isolated microgrid with solar, wind, and dispatchable generation. We conduct a comprehensive sensitivity analysis to study the effect of several parameters on the results for both cases.
topic shared transportation
electric vehicles
renewable energy
vehicle-to-grid
charge optimization
url http://www.mdpi.com/1996-1073/11/8/2016
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