2 days ago · This novel platform integrates NLR's novel DER optimization approach into legacy fault location, isolation, and service restoration functions to yield an intelligent distribution …

Taken together, this set of white papers envision a future grid with a high penetration of DER’s and of networked microgrids to promote the reliability, resiliency and affordability of the EDS.

Aug 18, 2025 · This article provides systematic review to follow a thorough evaluation of the present status of research on reinforcement learning (RL)-based microgrid control. The …

Sep 20, 2024 · This review examines critical areas such as reinforcement learning, multi-agent systems, predictive modeling, energy storage, and optimization algorithms—essential for …

As the use of distributed energy resources (DER) increased, a new paradigm of electrical grids emerged, called microgrids (MGs). An MG is part of a distribution system that comprises loads …

We develop control and optimization approaches to manage DER to provide power systems services at minimal cost. Our work employs spatio-temporal hierarchical controls, consistent …

Nov 24, 2025 · The lesson from this research is systemic rather than technical. The environmental value of AI-powered microgrids depends less on the sophistication of the algorithm than on the …

This work lays the foundation for advancing the under-standing and development of robust and efficient cyber‐resilient DER control algorithms, ultimately enhancing the reliability of DER …

This study establishes and categorizes six control strategies as the primary conceptual foundation for developing control models for new microgrid applications.

Mar 12, 2025 · This project will produce innovative asynchronous control, optimization, and estimation schemes that are grounded on solid analytical foundations. The benefit of the …