Power Converters for Modern Power Systems: Analysis, Modeling, and Control
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 55
Special Issue Editors
Interests: power converters; PV systems; control systems; nonlinear dynamics
Interests: power converters; condition monitoring and fault diagnosis of power electronics; energy storage systems components; reliability; electrolytic capacitors; AC motor drives
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern power systems are evolving to become more sustainable, resilient, and intelligent, a transformation critically enabled by power converters. These devices are indispensable for integrating renewable energy, strengthening grid stability, and facilitating efficient energy conversion throughout the entire power chain. The analysis, modeling, and control of these converters are therefore foundational, as they enable precise power flow management, enhanced dynamic response, and dependable operation across diverse conditions.
This Special Issue seeks to highlight groundbreaking research, innovative methodologies, and practical implementations related to the analysis, modeling, and control of power converters within modern power systems, with particular emphasis on AI-assisted methods and digital twin-based frameworks. It seeks to provide a collaborative platform for researchers and industry practitioners to address emerging challenges in system integration, dynamic stability, operational efficiency, and the resilience of modern power systems.
We invite submissions of original and unpublished work that leverages novel and interdisciplinary approaches to advance the state of the art in power converters. Relevant topics include, but are not limited to, the following:
- Modeling and simulation of power converters
- Control techniques for power converters
- Stability analysis of converter-dominated power systems
- Advanced control strategies for grid-tied, off-grid, and hybrid system
- High-efficiency and high-reliability converter topologies for renewable integration
- Digital twin modeling, co-simulation, and real-time implementation of converter systems
- Artificial intelligence and machine learning for converter modeling, control, and monitoring
- Design optimization methods for power converters
- Fault diagnosis and cybersecurity in converter-based networks
Dr. Mohammed Debbat
Dr. Khaled Laadjal
Guest Editors
Manuscript Submission Information
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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
- modern power systems
- system modeling and simulation
- stability analysis
- control strategies
- advanced converter topologies
- renewable energy resources
- artificial intelligence
- fault diagnosis
- condition monitoring
- digital twins
- intelligent control
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