Advanced Energy Storage Technologies for Integration in Sustainable Energy Systems

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

Deadline for manuscript submissions: 15 January 2026 | Viewed by 1734

Special Issue Editor


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Guest Editor
School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Interests: energy management; power systems analysis; battery energy storage systems; renewables; electric vehicles; energy hubs; microgrids

Special Issue Information

Dear Colleagues,

The advancement of energy storage technologies is pivotal in realizing the global vision of sustainable and resilient energy systems. Energy storage serves as a cornerstone in addressing the intermittency of renewable energy sources, balancing supply and demand, and supporting the transition to carbon-neutral energy frameworks. Emerging applications in electric vehicles, smart grids, and hybrid energy systems emphasize the importance of integrating cutting-edge storage technologies with innovative control, management, and material solutions.

This Special Issue aims to explore the multidisciplinary advancements in energy storage technologies and their integration into sustainable energy systems. With the increasing incorporation of renewable energy, intelligent grid infrastructures, and electrified mobility, the role of advanced materials, hybrid systems, and novel storage architectures has become more critical than ever. Additionally, rapid progress in artificial intelligence, quantum electronics, and flexible devices has opened new frontiers in energy storage applications, from enhancing efficiency to enabling real-time system optimization.

We invite researchers and experts from diverse fields to contribute original research articles, reviews, and case studies addressing the latest innovations and challenges in energy storage integration. By fostering collaboration across disciplines, this Special Issue aspires to advance the development of energy storage solutions that support sustainable, efficient, and resilient energy systems.

Potential topics include but are not limited to the following:

  • Renewable energy integration;
  • AI-driven strategies for storage optimization and management;
  • Advances in hybrid storage solutions, including batteries and hydrogen systems;
  • Cutting-edge materials for enhanced energy storage performance;
  • Electric vehicles as mobile storage units and their grid interaction;
  • Flexible and quantum electronics in energy storage;
  • Microelectronics and power electronics for storage systems;
  • Novel sensors and diagnostics for storage performance monitoring;
  • Safety, reliability, and lifecycle assessment of storage technologies;
  • Semiconductor innovations in storage device design.

We look forward to your contributions that will shape the future of energy storage technologies and their role in achieving sustainable energy solutions.

Dr. Arian Zahedmanesh
Guest Editor

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Keywords

  • advanced energy storage
  • sustainability and renewable energy
  • AI-driven energy technologies
  • hybrid energy storage systems
  • microelectronics and power electronics
  • advanced materials for energy storage
  • electric vehicles as energy storage
  • quantum and nanoelectronics
  • smart grid energy solutions
  • diagnostics and reliability in energy storage

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Published Papers (2 papers)

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Research

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15 pages, 4451 KB  
Article
Small-Signal Modeling of Asymmetric PWM Control Based Series Resonant Converter
by Gwang-Min Park and Kui-Jun Lee
Electronics 2025, 14(17), 3394; https://doi.org/10.3390/electronics14173394 - 26 Aug 2025
Viewed by 275
Abstract
This paper presents a small-signal model of a series resonant converter under continuous conduction mode, based on asymmetric pulse-width modulation, which is commonly used under light-load conditions. When controlled using conventional pulse-frequency modulation, the series resonant converter (SRC) suffers from insufficient resonant current [...] Read more.
This paper presents a small-signal model of a series resonant converter under continuous conduction mode, based on asymmetric pulse-width modulation, which is commonly used under light-load conditions. When controlled using conventional pulse-frequency modulation, the series resonant converter (SRC) suffers from insufficient resonant current under light loads, leading to degraded soft-switching performance, increased switching losses, and reduced efficiency due to the need for higher switching frequencies to maintain output regulation. To address these issues, the asymmetric pulse-width modulation with a fixed switching frequency is required to improve efficiency. In this study, a small-signal model is derived using the Extended Describing Function method. Based on this model, transfer functions are obtained and verified through MATLAB(R2024a), switching model-based PLECS(4.7.5) simulations, and experimental results. Full article
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Review

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31 pages, 2562 KB  
Review
Dynamic Line Rating: Technology and Future Perspectives
by Raúl Peña, Antonio Colmenar-Santos and Enrique Rosales-Asensio
Electronics 2025, 14(14), 2828; https://doi.org/10.3390/electronics14142828 - 15 Jul 2025
Viewed by 1015
Abstract
Dynamic Line Rating (DLR) technology is presented as a key solution to optimize the transmission capacity of power lines without the need to make investments in new infrastructure. Unlike traditional methods based on static estimates, DLR allows the thermal capacity of conductors to [...] Read more.
Dynamic Line Rating (DLR) technology is presented as a key solution to optimize the transmission capacity of power lines without the need to make investments in new infrastructure. Unlike traditional methods based on static estimates, DLR allows the thermal capacity of conductors to be evaluated in real time, considering the environmental and operational conditions. This article presents a state-of-the-art analysis of this technology, including a review of the main solutions currently available on the market. Likewise, the influence of variables such as ambient temperature, wind speed and direction or solar radiation in the determination of dynamic load capacity is discussed. It also reviews various pilot and commercial projects implemented internationally, evaluating their results and lessons learned. Finally, the main technological, regulatory, and operational challenges faced by the mass adoption of DLR are identified, including aspects such as the prediction of the dynamic capacity value, combination with other flexibility options, or integration with network management systems. This review is intended to serve as a basis for future developments and research in the field. Full article
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