Advanced Power Electronics and Energy Systems for Renewable Integration and Sustainable Power Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 638

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, University of Las Palmas de Gran Canaria, Campus de Tafira S/N, 35017 Las Palmas de Gran Canaria, Spain
Interests: microgrids; energy resilience; energy efficiency; water–energy nexus
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Special Issue Information

Dear Colleagues,

The rapid global transition toward low-carbon and sustainable energy has placed unprecedented demands on modern power systems. The large-scale integration of renewable energy sources—such as solar photovoltaics, wind energy, and hybrid renewable configurations—requires advanced power electronics, intelligent control strategies, and resilient energy system architectures to ensure reliability, efficiency, and sustainability. In this context, the proposed Special Issue, “Advanced Power Electronics and Energy Systems for Renewable Integration and Sustainable Power Systems”, aims to provide a comprehensive forum for disseminating cutting-edge research and technological innovations that address these challenges.

The primary focus of this topical collection is on advanced power electronic technologies and system-level solutions that enable efficient renewable energy integration into modern power systems. Our scope encompasses power converters, inverter technologies, control and modulation techniques, energy storage systems, microgrids, smart grids, and energy management strategies. Particular attention will be given to contributions addressing system resilience, energy efficiency, grid stability, and the interaction between electricity networks and other sectors such as water and transportation within the broader energy–water nexus.

The purpose of the Special Issue is to bridge the gap between theoretical developments and practical applications by showcasing original research, review articles, and case studies that demonstrate innovative approaches for designing, controlling, and operating sustainable power systems. Contributions addressing both centralized and decentralized energy systems, including islanded and grid-connected microgrids, are especially encouraged.

While the existing literature has extensively addressed individual aspects of renewable energy technologies and power electronics, many studies remain fragmented, focusing on isolated components rather than integrated system solutions. This Special Issue will supplement existing research by offering a holistic perspective that links advanced power electronics with system-level performance, resilience, and sustainability considerations. We emphasize interdisciplinary approaches that combine control theory, power system analysis, digitalization, and real-world deployment experiences.

By consolidating recent advances and emerging trends, this collection will serve as a valuable reference for researchers, engineers, and policymakers seeking scalable and resilient solutions for renewable energy integration. Ultimately, we aim to support the development of next-generation sustainable power systems aligned with global decarbonization and energy transition goals.

Dr. Enrique Rosales Asensio
Guest Editor

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Keywords

  • advanced power electronics
  • renewable energy integration
  • sustainable power systems
  • microgrids
  • smart grids
  • energy storage systems
  • power converters
  • grid resilience
  • energy efficiency
  • water–energy nexus
  • distributed generation
  • inverter-based resources

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Published Papers (1 paper)

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Research

34 pages, 32644 KB  
Article
Predictive Active Cell Balancing for Li-Ion Batteries Using GRU-Based Voltage Estimation
by Mirela Olteanu and Dorin Petreuș
Electronics 2026, 15(10), 1985; https://doi.org/10.3390/electronics15101985 - 7 May 2026
Viewed by 317
Abstract
One of the most important functions of a battery management system (BMS) is cell balancing. The limitations of active balancing systems arise from reactive control strategies that rely exclusively on instantaneous measurements of cell voltage or state of charge (SOC). Such strategies do [...] Read more.
One of the most important functions of a battery management system (BMS) is cell balancing. The limitations of active balancing systems arise from reactive control strategies that rely exclusively on instantaneous measurements of cell voltage or state of charge (SOC). Such strategies do not account for short-term voltage dynamics, which can lead to unnecessary energy transfers. This paper proposes a predictive cell balancing strategy based on cell voltage estimation, intended for active balancing systems, particularly those employing flyback converters. The proposed predictive model uses historical voltage and current measurements, as well as operating temperature information, to estimate the short-term evolution of the cell voltage. The model is trained using experimental datasets obtained from NCR18650B lithium-ion cells (Panasonic, Osaka, Japan) subjected to multiple current profiles and temperature conditions. The proposed strategy is implemented on the DC2100B-C module (Linear Technology, Milpitas, CA, USA), which employs the LTC3300-1 integrated circuit (Linear Technology, Milpitas, CA, USA), and is experimentally validated on a battery pack consisting of 12 NCR18650B cells connected in series. The experimental results demonstrate that the use of short-term voltage prediction improves the balancing process by reducing the voltage equalization time and the number of balancing command reconfigurations. Full article
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