Next-Generation Electric Energy Systems: Modeling, Control and Renewable Integration
A Special Issue of Energies (ISSN 1996-1073) belonging to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 391
Editors
Interests: nonlinear control and observer design; power systems control; wind power plants; PV systems; energy management; energy storage systems; renewable energy integration
Special Issue Information
Dear Colleagues,
The rapid evolution of electric energy systems, driven by the global transition toward sustainable and low-carbon energy solutions, has led to the emergence of next-generation power infrastructures. The increasing penetration of renewable energy sources, energy storage technologies, advanced power electronic converters, and distributed energy resources has significantly transformed traditional power system architectures. These developments introduce new technical challenges related to system modeling, optimal design, operational management, reliability and stability. Recent advances in power semiconductor devices, digital control techniques and intelligent energy-management strategies have enabled significant improvements in system efficiency, flexibility and performance. Furthermore, the development of microgrids, smart grids, electrified transportation systems and hybrid renewable energy networks requires coordinated control and advanced system-level integration to ensure secure and reliable operation under highly dynamic and uncertain conditions.
Despite technological progress, major scientific challenges remain. Current modeling and control approaches often focus on isolated subsystems, lacking unified frameworks to manage the multi-level interactions between power electronics, renewables and storage. Furthermore, conventional model-based strategies struggle with the stochastic behavior and non-linear dynamics of high-penetration renewable systems. The absence of integrated methodologies combining advanced modeling, intelligent control and predictive management limits the autonomy and resilience of modern power systems.
This Special Issue aims to provide a focused platform for emerging research addressing these challenges through advanced modeling, intelligent control strategies and integrated energy-management solutions for next-generation electric energy systems.
The Special Issue welcomes high-quality original research and review articles addressing, but not limited to, the following topics:
- Modeling and simulation of electric energy conversion systems
- Renewable energy integration and hybrid energy systems
- Energy storage technologies and battery management systems
- Advanced, nonlinear and intelligent control strategies
- HVDC transmission systems and DC distribution networks
- Power quality improvement and grid stability enhancement
- Load demand forecasting and energy consumption prediction
- AI- and machine-learning-based forecasting for energy systems
Prof. Dr. Ilyass El Myasse
Prof. Dr. Karim El Mezdi
Guest Editors
Manuscript Submission Information
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Keywords
- next-generation electric energy systems
- renewable energy integration
- energy management systems
- advanced control strategies
- microgrids and smart grids
- energy storage systems
- battery management systems
- HVDC transmission systems
- electric vehicle charging infrastructure
- data-driven energy systems
- renewable energy forecasting
- load demand forecasting
- artificial intelligence and machine learning
- power quality and grid stability
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