Design, Optimization and Control Strategy of Smart Grids
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 2720
Special Issue Editors
Interests: electric aircraft; smart grid; smart sensors; electric; power system quality
Special Issue Information
Dear Colleagues,
We are delighted to welcome you to the forefront of innovation in smart grids with our Special Issue, entitled "Design, Optimization and Control Strategy of Smart Grids".
At the core of cutting-edge smart grid advancements are the principles of design, optimization and the strategy of control, which play a pivotal role in the continued evolution of modern power systems. These innovations are closely aligned with global efforts to achieve sustainable development goals and implement energy transition policies, fostering the integration of intelligent technologies and strategies that enhance the grid's reliability, efficiency and adaptability. Through optimized control mechanisms and smart design, the smart grid emerges as a key enabler of a more resilient, sustainable and responsive energy infrastructure.
In the rapidly advancing field of smart grid technologies, the design of infrastructure is key to modernizing energy systems by integrating renewable energy, storage systems and electric vehicles. Tools like digital twins, automated grid management and smart charging infrastructure help to ensure efficient operation, while cybersecurity measures protect grid resilience. Optimization techniques, such as demand-side management, advanced forecasting and virtual power plants, enhance performance by balancing energy use and improving grid flexibility. Control strategies, including the real-time management of distributed resources and AI-driven fault detection, further stabilize the grid and maintain reliability in the face of increasing renewable integration.
Recommended topics include, but are not limited to, the following:
- Design of smart grid infrastructure:
- Integration of renewable energy sources, energy storage systems and electric vehicles;
- Smart charging infrastructure and vehicle-to-grid technologies;
- Digital twins for smart grid modeling and simulation;
- Digital substations and automated grid management;
- Optimal sizing, placement and management of energy storage systems;
- Cybersecurity measures and protocols;
- Overvoltage protection systems in photovoltaics installations.
- Optimization techniques for smart grids:
- Demand-side management and demand response optimization;
- Optimization of generation, distribution and hybrid energy systems;
- Advanced load forecasting, predictive control and data-driven decision-making;
- Storage management for peak shaving, load leveling and curtailment management;
- Power quality and grid reliability with high renewable penetration;
- Virtual power plants and grid flexibility optimization;
- Aging modeling of energy store systems;
- Digital battery passport applications.
- Control strategies for smart grid operations:
- Real-time control of distributed energy resources;
- Model predictive control applications;
- Frequency and voltage control techniques;
- Grid stabilization for variable renewable sources;
- Coordinated control of energy storage and renewable sources;
- Machine learning and AI for fault detection;
- Fault detection, isolation and restoration;
- Real-time simulation and hardware-in-the-loop testing.
Dr. Santiago Bogarra
Dr. Juan Antonio Ortega-Redondo
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy integration
- energy storage systems integration
- grid optimization techniques
- real-time control strategies
- cybersecurity for smart grids
- digital twins in smart grids
- virtual power plants
- fault detection and restoration
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