New Optimization Algorithms, Control Schemes and Modulation Techniques for Modular Power Converters
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 45
Special Issue Editors
Interests: modulation techniques; multilevel converters; model-based predictive control of power converters and drives; renewable energy sources; power device lifetime extension
Special Issues, Collections and Topics in MDPI journals
Interests: multilevel converters; HVDC transmission systems; hybrid energy storage systems
Special Issues, Collections and Topics in MDPI journals
Interests: DC distribution systems (low and medium voltage); electric vehicle charging infrastructure; high-efficiency DC–DC conversion and high-power converters
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on advancements in optimization algorithms, control schemes, and modulation techniques tailored for modular power converters. Modular power converters, including serial power converters, parallel power converters, and other multi-stage configurations, play a critical role in renewable energy systems, electric vehicles, and industrial applications. Their modular architecture provides scalability, fault tolerance, and improved efficiency, making them ideal for modern power systems. However, optimizing their performance remains challenging due to complex system interactions, nonlinear dynamics, and increasing power quality demands.
The proposed Special Issue aims to showcase innovative research addressing these challenges through:
- Optimization Algorithms: Novel methods to improve efficiency, reduce power losses, and optimize energy flow in modular topologies such as serial, parallel, and multi-stage power converters.
- Control Schemes: Advanced control strategies for enhancing stability, robustness, and dynamic performance across modular systems.
- Modulation Techniques: Cutting-edge approaches to reduce harmonic distortion, improve switching efficiency, and achieve high power quality in modular converter designs.
This Special Issue welcomes a broad range of contributions, including theoretical developments, simulation-based studies, and experimental validations. Submissions may focus on emerging trends such as artificial intelligence and machine learning for modular converter control, real-time modulation strategies, fault-tolerant schemes for modular systems, and optimization techniques for large-scale deployments. By addressing the unique challenges of serial, parallel, and multi-stage modular power converters, this Special Issue aims to present state-of-the-art solutions that advance modular converter technologies and facilitate their practical implementation in various applications.
Dr. Abraham Marquez
Dr. Ricardo Lizana Fuentes
Dr. Sebastian Rivera
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- harmonic optimization
- control algorithm
- reliability
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