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Smart Grid Integration of Renewable Energy Sources

This special issue belongs to the section “A: Sustainable Energy“.

Special Issue Information

Dear Colleagues,

The global transition toward sustainable energy systems has accelerated the deployment of renewable sources such as solar and wind. However, their intermittent nature introduces serious challenges in maintaining grid stability, reliability, and frequency regulation. To address these issues, the concept of smart grids has emerged, integrating advanced sensing, communication, and control technologies to manage energy flow intelligently.

Recent advances in power electronics, artificial intelligence, and digital twin modeling have made it possible to improve renewable resource forecasting, optimize power flow, and enable real-time decision-making. These technologies collectively contribute to achieving a more flexible, resilient, and carbon-neutral energy infrastructure.

This Special Issue aims to present and disseminate the latest research achievements and innovative approaches in the field of smart grid integration of renewable energy sources. This Special Issue focuses on the theoretical and practical developments in system modeling, simulation, optimization, and control of renewable-based power networks. It also seeks to explore novel solutions for stability enhancement, demand-side management, market operation, and energy storage integration.
Contributions from both academia and industry are encouraged, especially those highlighting real-world applications and interdisciplinary research that bridge renewable generation technologies with digital intelligence and sustainability.

Topics of interest for publication include, but are not limited to, the following:

  • Smart grid architectures for renewable energy integration;
  • Photovoltaic, wind, and hybrid renewable energy systems;
  • Load frequency and voltage control strategies;
  • Power electronics converters for grid-connected renewables;
  • Artificial intelligence and optimization algorithms for grid management;
  • Energy storage and battery management systems;
  • Electric vehicle–grid interaction and vehicle-to-grid (V2G) technologies;
  • Microgrid control, protection, and synchronization;
  • Real-time monitoring, forecasting, and digital twin applications;
  • Demand response and market mechanisms in smart grids;
  • Fault-tolerant control and reliability improvement of renewable systems.

Dr. Musa Yilmaz
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 250 words) can be sent to the Editorial Office for assessment.

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 grid integration
  • renewable energy sources
  • photovoltaic systems
  • wind power
  • energy storage
  • grid stability
  • load frequency control
  • artificial intelligence
  • power electronics
  • demand response

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Energies - ISSN 1996-1073