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Women's Research in Smart Energy Systems

A topical collection in Energies (ISSN 1996-1073). This collection belongs to the section "A1: Smart Grids and Microgrids".

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Editors


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Guest Editor
Department of Engineering, University of Palermo, 90128 Palermo, Italy
Interests: smart grids; power cables fault detection; transactive energy; energy blockchain; vehicle-to-grid; optimization in smart grids
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. KIOS Research and Innovation Centre of Excellence, University of Cyprus, Nicosia 1678, Cyprus
2. MicroDERLab, University Politehnica of Bucharest, 060042 București, Romania
Interests: operation research and optimization using artificial intelligence based methods; Microgrids; smart grids; interdependencies of critical infrastructures and power quality based on advanced signal processing methods

Topical Collection Information

The Special Issue ‘Women's Research in Smart Energy Systems’ aims to create a collection of excellent works in electrical and energy engineering led by women or mostly authored and carried out by women. It is well known that women are underrepresented in electrical engineering and in the energy field but their contribution is often very important, not only from the technical point of view but also based on their natural ability to lead research groups with a strongly cooperative approach. The ability to create a sense of belonging and to understand people comes into play when challenges get tougher.

The Special Issue will collect contributions in the field of smart grids and microgrids, in the area of advanced ICT solutions for power systems and energy systems, and in the field of cable fault detection. Applications of artificial intelligence to the energy area are very welcome, as well as contributions that consider the cross-cutting issues around the clean energy transition most countries are facing. Studies on clean mobility, zero emission vehicles, and waterborne transport are also most welcome.

Prof. Dr. Eleonora Riva Sanseverino
Prof. Dr. Luisa F. Cabeza
Dr. Irina Ciornei
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart energy systems
  • microgrids
  • energy hubs
  • smart grids
  • transactive energy
  • vehicle-to-grid
  • cable monitoring and fault detection
  • artificial intelligence in energy
  • optimization in energy

Published Papers (2 papers)

2022

Jump to: 2021

20 pages, 2724 KiB  
Review
Critical Assessment of Feed-In Tariffs and Solar Photovoltaic Development in Vietnam
by Hang Thi-Thuy Le, Eleonora Riva Sanseverino, Dinh-Quang Nguyen, Maria Luisa Di Silvestre, Salvatore Favuzza and Manh-Hai Pham
Energies 2022, 15(2), 556; https://doi.org/10.3390/en15020556 - 13 Jan 2022
Cited by 16 | Viewed by 4004
Abstract
Vietnam became the world’s third largest market for solar photovoltaic energy in 2020. Especially after the Vietnamese government issued feed-in tariffs for grid-connected solar photovoltaic systems, the installed capacity of solar photovoltaic applications exploded in 2019. From studies carried out in the relevant [...] Read more.
Vietnam became the world’s third largest market for solar photovoltaic energy in 2020. Especially after the Vietnamese government issued feed-in tariffs for grid-connected solar photovoltaic systems, the installed capacity of solar photovoltaic applications exploded in 2019. From studies carried out in the relevant literature, it can be said that support policies are highly important for the initial development of the renewable energy industry in most countries. This is especially true in emerging countries such as Vietnam. This paper reviews the feed-in tariffs issued and deployed in different regions of Vietnam for grid-connected solar photovoltaic applications. Moreover, the paper takes a closer look at the costs of electricity production from these systems in relation to the feed-in tariffs issued in Vietnam. The results show that the gap between the levelized cost of electricity and the feed-in tariff for solar photovoltaic electricity is relatively high, particularly in regions with a lower irradiation potential. Full article
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Graphical abstract

2021

Jump to: 2022

17 pages, 1296 KiB  
Article
Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth
by Jerzy Baranowski, Katarzyna Grobler-Dębska and Edyta Kucharska
Energies 2021, 14(18), 5893; https://doi.org/10.3390/en14185893 - 17 Sep 2021
Cited by 5 | Viewed by 1849
Abstract
Diagnostics of power and energy systems is obviously an important matter. In this paper we present a contribution of using new methodology for the purpose of signal type recognition (for example, faulty/healthy or different types of faults). Our approach uses Bayesian functional data [...] Read more.
Diagnostics of power and energy systems is obviously an important matter. In this paper we present a contribution of using new methodology for the purpose of signal type recognition (for example, faulty/healthy or different types of faults). Our approach uses Bayesian functional data analysis with data depths distributions to detect differing signals. We present our approach for discrimination of pole-to-pole and pole-to-ground short circuits in VSC DC cables. We provide a detailed case study with Monte Carlo analysis. Our results show potential for applications in diagnostics under uncertainty. Full article
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