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Emerging Topics in Renewable Energy Research in Smart Grids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (28 February 2025) | Viewed by 1053

Special Issue Editor


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Guest Editor
Smart Energy Research Unit, College of Engineering and Science, Victoria University, Ballarat Road, Melbourne, VIC 3011, Australia
Interests: power system stability; renewable energy systems; stabilization of wind farms; stability analysis of doubly-fed induction generators (DFIGs) and permanent magnet synchronous generator (PMSG) variable speed wind turbines; augmentation and integration of renewable energy into power systems; grid frequency dynamics; wind energy penetration; FACTS devices and power electronics; renewable energy storage systems; hydrogen production; fuel cells; applications of artificial intelligence and optimization of renewable energy systems

Special Issue Information

Dear Colleagues,

Due to the need to tackle climate change, scientific contributions to the analysis of the most recent innovative and sustainable renewable energy technologies are necessary for effective smart grid operations. The fast growth in the technologies of renewable energy systems has led to concern about their development and integration into power grids. The significant penetration of renewable energy to existing power networks would definitely affect the dynamics of the system, because of their stochastic nature. Therefore, new approaches must be learned and implemented to overcome this shortcoming.

Another important aspect of concern regarding the smooth operation of power grids is demand side integration, which relates the power system, energy supply and utilization. The high power demand from electric vehicles and other utilities would lead to the overloading of the power grid. Consequently, demand-side programs are currently employed in power grids to control the growth of power demand and utilization.

The revolution of information and communication technologies has extended to traditional power grids, making them smart. Thus, smart grids offer opportunity to use innovative information and communication technologies for better performance. Smart metering embedded with sophisticated communication gadgets and the associated software enable the optimal utilization and control of electricity.

This Special Issue will address renewable energy advances, new technologies and applications with regard to soft computing, artificial intelligence, transfer learning, machine learning, deep learning, condition monitoring of variables and their behaviors in real time.

Potential topics include, but are not limited to, the following:

  • New trends in renewable energy integration;
  • Distributed power systems;
  • Mini-grids;
  • Optimization of renewable energy systems;
  • Advanced control schemes for renewable energy systems;
  • Condition monitoring of power networks;
  • Applications of artificial intelligence in renewable energy systems;
  • Smart grid technologies;
  • Power electronics and power converters;
  • Management and applications of energy storage systems.

Dr. Kenneth Okedu
Guest Editor

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 special issue 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

  • solar energy
  • wind energy
  • energy storage systems
  • smart metering
  • communication
  • soft computing
  • accurate billing systems
  • demand side management (integration)
  • advanced intelligent control
  • artificial intelligence
  • machine learning
  • deep learning
  • condition monitoring

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Published Papers (1 paper)

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Research

20 pages, 6950 KiB  
Article
Offshore Network Development to Foster the Energy Transition
by Enrico Maria Carlini, Corrado Gadaleta, Michela Migliori, Francesca Longobardi, Gianfranco Luongo, Stefano Lauria, Marco Maccioni and Jacopo Dell’Olmo
Energies 2025, 18(2), 386; https://doi.org/10.3390/en18020386 - 17 Jan 2025
Viewed by 644
Abstract
A growing interest in offshore wind energy in the Mediterranean Sea has been recently observed thanks to the potential for scale-up and recent advances in floating technologies and dynamic cables: in the Italian panorama, the offshore wind connection requests to the National Transmission [...] Read more.
A growing interest in offshore wind energy in the Mediterranean Sea has been recently observed thanks to the potential for scale-up and recent advances in floating technologies and dynamic cables: in the Italian panorama, the offshore wind connection requests to the National Transmission Grid (NTG) reached almost 84 GW at the end of September 2024. Starting from a realistic estimate of the offshore wind power plants (OWPPs) to be realized off the southern coasts in a very long-term scenario, this paper presents a novel optimization procedure for meshed AC offshore network configuration, aiming at minimizing the offshore wind generation curtailment based on the DC optimal power flow approximation, assessing the security condition of the whole onshore and offshore networks. The reactive power compensation aspects are also considered in the optimization procedure: the optimal compensation sizing for export cables and collecting stations is evaluated via the AC optimal power flow (OPF) approach, considering a combined voltage profile and minimum short circuit power constraint for the onshore extra-high voltage (EHV) nodes. The simulation results demonstrate that the obtained meshed network configuration and attendant re-active compensation allow most of the offshore wind generation to be evacuated even in the worst-case scenario, i.e., the N1 network, full offshore wind generation output, and summer line rating, testifying to the relevance of the proposed methodology for real applications. Full article
(This article belongs to the Special Issue Emerging Topics in Renewable Energy Research in Smart Grids)
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