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Advanced Power Electronics and Energy Systems for Renewable Integration and...
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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 January 2027 | Viewed by 1418

Editor

Dr. Enrique Rosales Asensio

E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals

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

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics 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 2400 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

  • 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 (3 papers)

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Research

21 pages, 4677 KB  
Article
Cooperative Control of Dynamic Power Decoupling and Adaptive Damping–Inertia for Grid-Forming Converters
by Chang Peng, Zhi Li, Zhou Dong, Mengwei Lou, Ruocong Yang, Yaxin Du and Jianhui Meng
Electronics 2026, 15(13), 2810; https://doi.org/10.3390/electronics15132810 - 25 Jun 2026
Viewed by 213
Abstract
Aiming at the problems of the severe active–reactive power coupling, insufficient adaptive inertia–damping regulation, and degraded dynamic performance of virtual synchronous generators (VSGs) under the operating conditions of a weak grid, high resistance-to-reactance ratio, and large power angle, this paper proposes a cooperative [...] Read more.
Aiming at the problems of the severe active–reactive power coupling, insufficient adaptive inertia–damping regulation, and degraded dynamic performance of virtual synchronous generators (VSGs) under the operating conditions of a weak grid, high resistance-to-reactance ratio, and large power angle, this paper proposes a cooperative control strategy that combines reactive power feedforward decoupling with adaptive damping–inertia regulation. First, a small-signal power model of the VSG is established, and a dynamic relative gain array is employed to quantitatively analyze the effects of the resistance-to-reactance ratio and power angle on power coupling characteristics, revealing that large power angles and high resistance-to-reactance ratios significantly aggravate active–reactive power coupling. Based on this analysis, a reactive-power-oriented feedforward decoupling strategy is designed to suppress the cross-coupling between reactive power and power angle while preserving the intrinsic inertia support characteristics of the active power loop. Eigenvalue migration analysis further demonstrates that the proposed reactive-power-oriented decoupling provides higher damping ratios and larger stability margins than conventional full active–reactive power decoupling. Furthermore, a deep deterministic policy gradient-based adaptive damping–inertia control method is developed by incorporating frequency deviation, power fluctuation, voltage deviation, and coupling degree into the state space, enabling the online coordinated optimization of virtual inertia and damping coefficients. The hardware-in-the-loop experimental results verify that the proposed strategy effectively suppresses active–reactive power coupling, reduces power overshoot and oscillation, enhances frequency support capability and dynamic response speed, and maintains superior stability under weak grid conditions. Sensitivity analysis under grid impedance estimation errors further confirms its strong robustness against parameter uncertainty, while tests under composite disturbance scenarios demonstrate excellent transient performance. The proposed strategy provides an effective solution for improving the grid-connected operation performance and adaptability of VSGs in low-inertia power systems. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Energy Systems for Renewable Integration and Sustainable Power Systems)
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16 pages, 11489 KB  
Article
Flexible Grid-Connected/Off-Grid Switching Control Strategy for Storage Inverter
by Jiran Zhu, Kehui Zhou, Haiguo Tang, Yi Zhang, Xiaochao Hou and Mei Su
Electronics 2026, 15(11), 2354; https://doi.org/10.3390/electronics15112354 - 29 May 2026
Viewed by 299
Abstract
Taking a dual-mode grid-connected/off-grid storage inverter as the research subject, control models for both grid-connected and off-grid operation modes were established. For the grid-to-off-grid transition, an improved adaptive active frequency drift islanding detection algorithm was proposed, which employs a cubic power-based detection method [...] Read more.
Taking a dual-mode grid-connected/off-grid storage inverter as the research subject, control models for both grid-connected and off-grid operation modes were established. For the grid-to-off-grid transition, an improved adaptive active frequency drift islanding detection algorithm was proposed, which employs a cubic power-based detection method when frequency deviation is small to reduce positive feedback speed, and a parabola-based detection method when frequency deviation is large to enhance positive feedback speed. Compared with the traditional active frequency drift islanding detection algorithm, the proposed method can ensure islanding detection speed while effectively reducing the current total harmonic distortion during grid-connected operation. Experiments conducted on a storage inverter prototype demonstrated stable operation in both grid-connected and off-grid modes. The results indicate that the proposed control strategy enables rapid identification of operating conditions and mode switching, significantly improving the stability and reliability of the inverter during transition, thus laying a foundation for the autonomous operation of dynamic microgrids. Full article
(This article belongs to the Special Issue Advanced Power Electronics and Energy Systems for Renewable Integration and Sustainable Power Systems)
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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 477
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
(This article belongs to the Special Issue Advanced Power Electronics and Energy Systems for Renewable Integration and Sustainable Power Systems)
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