Advanced Power Conversion, Operation and Control for Future-Ready Smart Grids
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 1323
Special Issue Editors
Interests: artificial intelligence; large language models; applications of AI in power electronics; multi-modal AI for power electronics
Interests: AC/DC microgrids; hierarchical controls; microgrid clusters; fast-time domain methods; harmonic analysis; stability analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of renewable energy sources and the evolution of smart grids have revolutionized modern power systems, presenting new challenges and opportunities in power conversion, operation and control, and system analysis. As the demand for efficient, reliable, and flexible renewable-enabled power systems continues to grow, power converters and their control mechanisms play an increasingly critical role in ensuring stable and optimized grid operations.
The present Special Issue, “Advanced Power Conversion, Operation and Control for Future-Ready Smart Grids”, seeks to collect reviews and research articles that advance the understanding of emerging power conversion technologies, operation and control strategies, and system analysis within the context of smart grids. We invite submissions that explore both the theoretical and practical aspects, offering insights into how these technologies can be leveraged to enhance grid performance, integrate renewable energy, and ensure system stability under varying operational conditions. Potential topics of interest include, but are not limited to, advanced power converter designs, control strategies for grid-connected converters, the integration of renewable energy sources, the real-time monitoring and control of power converters, power quality management, fault detection and mitigation, the applications of AI and machine learning, energy storage integration, microgrid clustering, microgrid cluster control, renewable-based system analysis, wide area operation, and smart inverter technologies for distributed energy resources.
We look forward to receiving your contributions.
Dr. Fanfan Lin
Dr. Gibran David Agundis Tinajero
Guest Editors
Manuscript Submission Information
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Keywords
- power converters
- smart grids
- renewable energy integration
- control strategies
- AI and machine learning
- energy storage systems
- power quality management
- fault detection
- real-time monitoring
- smart inverters
- transient and steady-state analysis
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