Renewable Energy Integration and Energy Management in Smart Grid

Dear Colleagues,

Growing decentralized electricity production and emerging new utilizations such as electric vehicles and greenhouse gas emission reduction targets are changing the energy landscape. Meeting these challenges and achieving the energy transition at the best cost requires a more flexible and resilient energy grid: a smart grid. Indeed, a smart grid is an advanced electrical grid that uses digital and other advanced technology to control, monitor, and manage electricity delivery from power sources to consumers. It meets varying electricity demands in an efficient, reliable, and sustainable manner, enhancing grid stability and providing real-time data for utilities and consumers.

This Special Issue focuses on recent developments and new research studies in Smart Grids. It may include power integration of different energy sources, design of control techniques, and energy emulators integrated through the PHIL, CHIL, and HIL techniques. Research results from the applied data-driven energy systems, artificial intelligence-based controllers, or power estimators may be considered for this issue. Furthermore, it may contain different results obtained from the forecasting techniques that predict energy consumption in dynamic conditions and different remote energy monitoring solutions expected to fill the current gap between data monitoring and real-time performance analysis of the implemented power systems.

Therefore, papers of this Special Issue may include:

• Smart grid planning, design, operation, and successful applications.
• Fault detection, load balancing, real-time adjustments to supply and demand, and energy management in smart grid.
• Integration of renewables: solar, wind, tidal, and other renewable energy sources.
• Energy efficiency: reduction in energy waste and improving overall system efficiency.
• Data analytics and computation in smart grids.
• New topologies of power electronics converters for renewable energy sources in smart grids.
• Performance analysis of smart grids under different loads.
• HVDC in smart grids.
• Data-driven optimization of renewable energy systems.
• Hierarchical digital twins of energy systems.
• Intelligent, active power filters for harmonic elimination.
• Smart grid for electric vehicles and other new electrical loads.
• E-Mobility through the fast communication between electric vehicles and charging systems.
• Wireless power transfer.
• Power hardware-in-the-loop (PHIL); hardware-in-the-loop (HIL); controller-in-the-loop (CIL).
• Artificial-intelligent-based based controllers, including machine learning/ deep learning-based energy models.
• Energy consumption prediction, including advanced time series forecasting.
• Advanced control in energy systems.
• Remote energy monitoring.
• Future challenges and directions for smart grids.
• Economic analysis, costs, and benefits associated with smart grid.

Other innovative techniques and technologies may also address the issue.

Dr. Alireza Payman
Prof. Dr. Marian Gaiceanu
Guest Editors

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