Power System Dynamics and Stability
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 7
Special Issue Editor
Interests: renewable energy sources; smart grid; applications of artificial intelligence in power systems; microgrids; power systems operation and control; energy management and optimization; distributed generation; power system dynamics and stability analysis; power electronics; vehicle to grid; power quality issues
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global transition toward smart grids and renewable energy systems represents a pivotal step in building the next generation of sustainable, resilient, and intelligent power infrastructures. Driven by the urgency of climate change and increasing energy demands, the integration of renewable energy sources such as solar, wind, and tidal has become a critical focus. However, these sources introduce inherent challenges including intermittency, output fluctuations, and power quality issues that require novel and adaptive solutions.
Accurate forecasting of both energy consumption and renewable generation is essential to optimize grid efficiency and support dynamic generation management. As the energy landscape evolves, the precision and adaptability of forecasting models become central to ensuring grid reliability and performance.
The integration of distributed generation with conventional centralized systems presents an opportunity to reduce fossil fuel dependency and overall energy costs. Yet, this coordination demands advanced control strategies. Traditional filtering techniques are insufficient to maintain power quality under fluctuating distributed generation. Therefore, there is a growing need for robust, real-time stability analyses and the deployment of adaptive, intelligent control systems both centralized and decentralized.
This special issue invites cutting-edge research contributions focused on optimization models, control strategies, forecasting techniques, and intelligent technologies that facilitate the seamless integration of renewable energy sources into the power grid. Emphasis will be placed on multi-agent systems, filtering, AI-driven forecasting, and dynamic energy management frameworks that enhance system quality and sustainability.
Dr. Hamed Aly
Guest Editor
Manuscript Submission Information
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Keywords
- power system stability and dynamic analysis
- power quality enhancement and mitigation strategies
- renewable energy forecasting and prediction models
- AI, machine learning, and deep learning applications in smart grids
- power electronics and advanced converter technologies
- vehicle-to-everything (V2X) integration and control
- energy storage systems and hybrid optimization
- centralized and decentralized control frameworks
- distributed generation and microgrid management
- fault detection, protection, and diagnostic systems
- high voltage engineering and infrastructure
- linear and nonlinear control strategies
- multi-agent systems for smart grid coordination
- energy management systems and optimization algorithms
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