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Energy Management and Optimization in Hybrid Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 370

Special Issue Editor


E-Mail Website
Guest Editor
ESME Research Lab, 38 rue Molière 94200, Ivry-sur-Seine, France
Interests: power electronics; PEM fuel cell; control and energy management of the hybrid system

Special Issue Information

Dear Colleagues,

The transition toward sustainable and low-carbon energy systems has significantly accelerated the development of hybrid power systems that combine multiple renewable energy sources—such as solar, wind, and fuel cells—with various energy storage technologies, including batteries, supercapacitors, and hydrogen. These integrated systems help mitigate the variability of renewable generation while enhancing the overall reliability, flexibility, and efficiency of energy networks.

This Special Issue aims to provide a dedicated platform for advanced research on energy management and optimization approaches designed to improve the performance, economic viability, and sustainability of hybrid energy systems. It is fully aligned with the scope of the journal Energies, which supports both theoretical and applied research in areas such as energy conversion and storage, smart grids, power systems, and energy management techniques.

Contributions addressing the modeling, control, optimization, and system-level integration of hybrid energy systems are particularly encouraged. Topics of interest include, but are not limited to, the following:

  1. Energy management strategies for multi-source systems (renewables, storage, and conventional backup sources);
  2. Optimization methods (e.g., artificial intelligence, metaheuristics, model predictive control) for system design, sizing, and operation;
  3. Smart grids and microgrids, including distributed and autonomous systems, as well as the integration of energy storage technologies (batteries, hydrogen, hybrid storage solutions);
  4. Techno-economic and environmental assessments, including life-cycle analysis and cost–reliability trade-offs;
  5. Power electronics and control architectures for hybrid systems;
  6. Real-time monitoring, diagnostics, and intelligent control of energy systems.

Dr. Nabil Benyahia
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

  • hybrid power systems
  • energy management
  • optimization techniques
  • renewable energy integration
  • smart grids
  • microgrids
  • energy storage systems
  • battery systems
  • hydrogen energy
  • fuel cells
  • power electronics
  • model predictive control
  • artificial intelligence
  • system modeling
  • control strategies
  • distributed energy systems
  • techno-economic analysis
  • sustainability
  • real-time monitoring

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