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Electronics
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Power Converters for Renewable Energy Integration and Energy Storage Systems
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Power Converters for Renewable Energy Integration and Energy Storage Systems

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

Deadline for manuscript submissions: 15 June 2026 | Viewed by 4131

Special Issue Editors

Dr. Marzio Barresi

E-Mail Website
Guest Editor
Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy
Interests: power electronic converters; charging infrastractures; renewable energy sources; energy storage systems
Dr. Davide De Simone

E-Mail Website
Guest Editor
Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy
Interests: power electronic converters; charging infrastractures; open-ended electrical drives; energy storage systems
Special Issues, Collections and Topics in MDPI journals
Dr. Mattia Ricco

E-Mail Website
Guest Editor
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, 40126 Bologna, Italy
Interests: power electronics; charging infrastractures; multilevel converters; renewable energy; FPGA-based controllers; energy management systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The growing demand for sustainable energy solutions is driving rapid advancements in renewable energy sources (RESs) and energy storage system (ESS) technologies. Central to these advancements are power electronic converters, which play a critical role in ensuring efficient, stable, and reliable energy conversion between RESs, ESSs, and the grid. This Special Issue, “Power Converters for Renewable Energy Integration and Energy Storage Systems”, aims to bring together innovative research and insights into the design, optimization, and application of power converters in these evolving energy landscapes.

Specifically, this Special Issue focuses on innovative power electronic converters which play a pivotal role in integrating renewable energy sources such as solar, wind, and hydropower with energy storage systems, including second-life batteries, supercapacitors, and other emerging technologies. The Issue will delve into grid applications and fast-charging infrastructures for electric vehicles (EVs), both of which require highly efficient and scalable power converter technologies to integrate RESs and ESSs, particularly as the transition to clean energy accelerates. These converters are critical for managing energy flow while maintaining grid reliability and stability. Furthermore, modern power grids rely on converters that can operate in grid-feeding (injecting specific active/reactive power), grid-supporting (providing ancillary services), and grid-forming (establishing voltage and frequency) modes, depending on the needs of system operators. The Issue will cover a broad range of converter technologies, including DC–DC, AC–DC, DC–AC, and multi-level converters, as well as novel topologies and control strategies designed to enhance system efficiency, performance, and reliability. The scope of this collection encompasses both theoretical and practical research contributions that advance the understanding and application of power converters in energy systems.

Researchers and experts in the field are encouraged to submit their original research contributions, survey papers, or tutorials for review in this Special Issue. Topics of interest include but are not limited to the following:

  • Novel converter topologies for RES and ESS integration;
  • Innovative control strategies for power converters integrating RESs and ESSs;
  • Grid-feeding, grid-supporting, and grid-forming power converters with distributed resources;
  • Power converters for fast-charging infrastructures in electric vehicles;
  • High-efficiency converter designs for distributed generation;
  • Harmonic and power-quality improvements in energy systems;
  • Converter reliability and fault tolerance;
  • Power converters’ roles in enhancing the stability and flexibility of the grid.

Dr. Marzio Barresi
Dr. Davide De Simone
Dr. Mattia Ricco
Guest Editors

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. 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

  • power electronic converters
  • fast-charging infrastructures
  • distributed generation
  • renewable energy sources
  • energy storage systems
  • grid stability

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Published Papers (5 papers)

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Research

26 pages, 4284 KB  
Article
Thermal-Stress-Induced Degradation Monitoring and Deep-Neural-Network-Driven Lifetime Prediction of IGBT Modules in a Two-Level SVPWM Inverter
by Ahmed H. Okilly, Wujong Lee, Ilyong Lee, Deockho Kim and Jeihoon Baek
Electronics 2026, 15(8), 1678; https://doi.org/10.3390/electronics15081678 - 16 Apr 2026
Abstract
One of the main causes of failure in Insulated Gate Bipolar Transistor (IGBT) modules used in high-power conversion applications is thermal-stress-induced degradation. In this paper, an experimental testing setup for thermal stress and real-time degradation monitoring, as well as a deep neural network [...] Read more.
One of the main causes of failure in Insulated Gate Bipolar Transistor (IGBT) modules used in high-power conversion applications is thermal-stress-induced degradation. In this paper, an experimental testing setup for thermal stress and real-time degradation monitoring, as well as a deep neural network (DNN)-based lifetime prediction of IGBT modules under thermo-electrically stressed inverter operation, is proposed. A two-level SVPWM inverter is implemented to create a hybrid power cycling test platform that imposes well-defined junction-temperature swings representative of real-world operation by combining controlled electrical loading and active induction heating with water cooling. Throughout the aging process, on-state voltage and module temperature are constantly monitored to identify degradation precursors associated with thermo-mechanical fatigue. A physics-based Coffin–Manson lifetime model is fitted using failure datasets to characterize temperature-dependent lifetime behavior. An offline deep neural network (DNN) is trained on degradation trajectories derived from on-state collector–emitter voltage (Vce,on) to predict remaining useful lifetime. This approach uses partial degradation histories for accurate early-life prediction. The proposed DNN model for competitive and computationally efficient lifetime prediction is validated experimentally on several IGBT modules under different thermal stresses, and its accuracy is compared with other prediction methods. Full article
(This article belongs to the Special Issue Power Converters for Renewable Energy Integration and Energy Storage Systems)
17 pages, 19911 KB  
Article
Enhanced Extremum Seeking Control (EESC) Structure for Dual-Bridge DC-DC Converters
by Zhuoqun Wu, Paolo Sbabo, Paolo Mattavelli and Simone Buso
Electronics 2026, 15(7), 1371; https://doi.org/10.3390/electronics15071371 - 26 Mar 2026
Viewed by 278
Abstract
This paper first identifies and analyzes the phenomenon of output-voltage collapse under step load perturbations in dual-bridge converters where an extremum seeking control (ESC) optimization algorithm is employed. Although ESC is an effective online duty-cycle optimization method under steady-state power transfer conditions, it [...] Read more.
This paper first identifies and analyzes the phenomenon of output-voltage collapse under step load perturbations in dual-bridge converters where an extremum seeking control (ESC) optimization algorithm is employed. Although ESC is an effective online duty-cycle optimization method under steady-state power transfer conditions, it can result in severe output-voltage degradation during large-signal transients. This degradation is primarily caused by the following two factors: the reduced power transfer capability associated with the optimized duty cycles, and the limited dynamic capability of the ESC structure to rapidly adjust the duty cycles. To overcome this limitation, an enhanced extremum seeking control (EESC) structure is proposed for the first time, which enables fast output-voltage reference tracking under dynamic operating conditions, while preserving ESC’s capability for online duty-cycle optimization to minimize losses and improve efficiency. The proposed method extends the applicability of ESC from steady-state optimization to large-signal dynamic scenarios. Comparative experimental results on a dual active half-bridge (DAHB) converter reveal that the conventional ESC structure can cause dynamic collapse, corresponding to a 100% output voltage and current drop under a sudden increase in reference power from 25% to 50% of the rated power with resistive loads. In contrast, the proposed EESC structure not only maintains the same efficiency optimization as the conventional ESC but also exhibits only a brief 5% drop in output voltage and current under the same dynamic conditions, immediately recovering and thus avoiding dynamic collapse. Full article
(This article belongs to the Special Issue Power Converters for Renewable Energy Integration and Energy Storage Systems)
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19 pages, 5665 KB  
Article
A Novel Two-Stage Power Conversion Method Suitable for 1MHz-LDC of Electric Vehicles
by Tran Manh Tuan, Abdul Shakoor Akram and Woojin Choi
Electronics 2025, 14(12), 2403; https://doi.org/10.3390/electronics14122403 - 12 Jun 2025
Cited by 2 | Viewed by 1009
Abstract
Low-Voltage DC-DC converters (LDCs) in electric vehicles require high power density and high efficiency operation over the wide range of load and input voltage variations. This paper introduces a novel topology which combines three 1 MHz half-bridge (HB) LLC resonant converters and an [...] Read more.
Low-Voltage DC-DC converters (LDCs) in electric vehicles require high power density and high efficiency operation over the wide range of load and input voltage variations. This paper introduces a novel topology which combines three 1 MHz half-bridge (HB) LLC resonant converters and an inverting buck–boost (IBB) converter to adjust the output voltage without frequency modulation. The switching frequency of the proposed converter is fixed at 1 MHz to achieve a constant frequency operation for the resonant converter. In the proposed topology, Gallium Nitride (GaN) devices and planar transformers are employed to optimize the converter operation at high frequency. A 1-MHz/1.8 kW-400/14 V prototype converter is built to verify the feasibility and the validity of the proposed LDC topology. Full article
(This article belongs to the Special Issue Power Converters for Renewable Energy Integration and Energy Storage Systems)
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23 pages, 3822 KB  
Article
Integrated Multi-Timescale Battery Dispatch and Overload Mitigation: An Agent-Based Optimization Framework for High EV Penetration in Danish Distribution Networks
by Lu Cong, Bo Nørregaard Jørgensen and Zheng Grace Ma
Electronics 2025, 14(8), 1612; https://doi.org/10.3390/electronics14081612 - 16 Apr 2025
Cited by 2 | Viewed by 1288
Abstract
The rapid integration of renewable energy and electric vehicles is challenging modern distribution networks with increased demand volatility and overload risks. To address these issues, we propose an integrated, multi-timescale battery dispatch framework that unifies long-term capacity planning, day-ahead/intra-day scheduling, and sub-minute real-time [...] Read more.
The rapid integration of renewable energy and electric vehicles is challenging modern distribution networks with increased demand volatility and overload risks. To address these issues, we propose an integrated, multi-timescale battery dispatch framework that unifies long-term capacity planning, day-ahead/intra-day scheduling, and sub-minute real-time control. The framework combines HOMER Pro-based capacity sizing, a MISOCP model for economic scheduling, and an agent-based simulation for immediate overload mitigation. In a case study of a Danish distribution network projected to reach full EV penetration by 2034, our approach reduced moderate-to-severe overload incidents by 82.7%. Furthermore, a price-sensitive variant achieved a 27.4% reduction in operational costs, with only a 12.5% increase in minor overload events. These quantitative improvements, alongside qualitative enhancements in grid stability and battery longevity, provide actionable insights for distribution system operators. Full article
(This article belongs to the Special Issue Power Converters for Renewable Energy Integration and Energy Storage Systems)
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20 pages, 13647 KB  
Article
Robust DC Grid Voltage Support in a Single-Stage PV Converter
by Ali Zakerian and Masoud Karimi-Ghartemani
Electronics 2025, 14(7), 1396; https://doi.org/10.3390/electronics14071396 - 30 Mar 2025
Viewed by 706
Abstract
This paper presents a controller for a direct current (DC) grid-connected single-stage solar photovoltaic (PV) converter. The proposed controller provides both static and dynamic voltage support to the grid voltage. Unlike the common practice, it allows a small and controlled offset in the [...] Read more.
This paper presents a controller for a direct current (DC) grid-connected single-stage solar photovoltaic (PV) converter. The proposed controller provides both static and dynamic voltage support to the grid voltage. Unlike the common practice, it allows a small and controlled offset in the PV voltage in proportion to the power flowing through the converter, which enhances the system’s stability margins. A novel feedback branch from the grid voltage is introduced to enable grid voltage support. Additionally, the controller includes a current-limiting feature to protect the converter switches from overcurrent transients. The proposed approach combines and designs the voltage and current controllers using an optimal full-state feedback approach. This results in a systematic design with optimal and robust properties. Detailed simulations, comparisons, and experimental results are presented in this paper to verify the effectiveness of the proposed approach. Particularly, the experimental findings demonstrate improved stability during local load disturbances and grid fluctuations, with lower voltage drops, reduced grid current variations, lower stress on the grid, and reduced losses in the grid network compared to conventional controllers. Full article
(This article belongs to the Special Issue Power Converters for Renewable Energy Integration and Energy Storage Systems)
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