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Integration of Electric Vehicles and Renewable Energy Sources for a Sustainable Energy Transition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 3634

Special Issue Editor


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Guest Editor
Dipartimento di Ingegneria Elettrica ed Elettronica, Università di Cagliari, 09123 Cagliari, Italy
Interests: electric drives; power electronics; electric energy management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The expected growth of electric vehicles (EV) offers great opportunities for the implementation of a novel approach in planning, managing, and controlling the power system, specifically in the presence of a relevant and diffuse renewable energy generation. In this context, the fleets of EVs and in particular the charging stations can assume an important role in the energy management of energy communities. In fact, the availability of energy and communication interconnection between vehicles and the power system allows the proper energy control of EV fleets, considering them as a cluster of agents able to act on the power system as a controllable load and generator.

This represents a great opportunity in the de-carbonization scenario that has a double impact: increase the use of renewable energy in mobility sector and support the massive diffusion of renewable energy sources (RES) on a distribution network.  Therefore, the integration between RES and electric vehicle represents a key topic for the harmonic and gradual transition from a fossil-fuel-based energy system to a RES-based one. The focus of this Special Issue is on (but is not limited to):

  • Control algorithm for managing the integration of RES and electric vehicle in Smart Grid;
  • Planning strategy of charging stations for Smart Grid;
  • Novel configuration of charging stations for their integration with RES;
  • Integration of electric vehicles in VPP;
  • Integration of renewable energy in the electric vehicle;
  • Novel paradigm for the energy management of EV fleets.

Prof. Dr. Alfonso Damiano
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • Renewable energy sources
  • Microgrid
  • Electric vehicle
  • Energy storage
  • Vehicle to grid
  • Grid to vehicle
  • Virtual power plant
  • Planning of energy systems

Published Papers (1 paper)

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Research

22 pages, 5447 KiB  
Article
Estimating the Impact of Electric Vehicle Demand Response Programs in a Grid with Varying Levels of Renewable Energy Sources: Time-of-Use Tariff versus Smart Charging
by Wooyoung Jeon, Sangmin Cho and Seungmoon Lee
Energies 2020, 13(17), 4365; https://doi.org/10.3390/en13174365 - 24 Aug 2020
Cited by 21 | Viewed by 3012
Abstract
An increase in variable renewable energy sources and soaring electricity demand at peak hours undermines the efficiency and reliability of the power supply. Conventional supply-side solutions, such as additional gas turbine plants and energy storage systems, can help mitigate these problems; however, they [...] Read more.
An increase in variable renewable energy sources and soaring electricity demand at peak hours undermines the efficiency and reliability of the power supply. Conventional supply-side solutions, such as additional gas turbine plants and energy storage systems, can help mitigate these problems; however, they are not cost-effective. This study highlights the potential value of electric vehicle demand response programs by analyzing three separate scenarios: electric vehicle charging based on a time-of-use tariff, smart charging controlled by an aggregator through virtual power plant networks, and smart control with vehicle-to-grid capability. The three programs are analyzed based on the stochastic form of a power system optimization model under two hypothetical power system environments in Jeju Island, Korea: one with a low share of variable renewable energy in 2019 and the other with a high share in 2030. The results show that the cost saving realized by the electric vehicle demand response program is higher in 2030 and a smart control with vehicle-to-grid capability provides the largest cost saving. When the costs of implementing an electric vehicle demand response are considered, the difference in cost saving between the scenarios is reduced; however, the benefits are still large enough to attract customers to participate. Full article
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