Advanced Strategies for Energy Management and Stability in Smart Microgrids

The global push for sustainable energy systems has accelerated the adoption of renewable energy sources and decentralized energy networks. Microgrids have emerged as critical infrastructures for integrating renewable energy, enabling localized energy generation, storage, and distribution. However, the inherent variability of renewable energy sources and the growing complexity of energy systems pose significant challenges in maintaining operational stability, optimizing energy usage, and facilitating efficient energy trading. Advanced approaches, such as robust optimization, predictive control, and peer-to-peer (P2P) energy management, are crucial for addressing these challenges. Furthermore, the integration of technologies like electric vehicles (EVs) and advanced energy storage systems opens new possibilities for enhancing system stability and resilience.

This Research Topic aims to gather cutting-edge research that develops and demonstrates innovative strategies for energy management and stability in smart microgrids. The goal is to explore and advance robust, decentralized, and intelligent approaches that address the challenges of renewable energy integration, uncertainty management, and dynamic system interactions. Specific objectives include: Proposing robust and predictive optimization models for energy management. Enhancing P2P energy trading frameworks using game theory and multi-agent systems. Leveraging electric vehicles and advanced storage technologies for frequency regulation and stability. Promoting adaptive demand response strategies to enhance grid resilience. Demonstrating practical applications of these strategies through simulations or real-world microgrid implementations.

This Research Topic aims to explore innovative strategies for energy management and stability in smart microgrids, focusing on robust, predictive, and decentralized approaches to address the challenges of renewable energy integration We welcome original research articles, review papers, and case studies that bridge theoretical advancements with practical implementations. Submissions should demonstrate innovative methodologies, provide significant insights into microgrid operations, and contribute to advancing the global transition to sustainable energy systems. Specific themes of interest include:

• Hierarchical and robust optimization for microgrid energy management.
• Game theory and peer-to-peer energy trading frameworks.
• Predictive control strategies incorporating electric vehicles and advanced storage systems.
• Demand response strategies for grid resilience and energy optimization.
• Practical applications and case studies of intelligent microgrid solutions.