Distribution Grid

Distribution grids, the lower-level networks delivering electricity to consumers, are undergoing significant transformation due to increased renewable energy integration and electric vehicle adoption. Current research focuses on improving grid management through advanced modeling techniques, including graph neural networks, reinforcement learning, and multi-agent systems, to optimize resource allocation, predict load fluctuations, and enhance resilience against cyberattacks and extreme weather events. These efforts aim to ensure reliable and efficient electricity delivery, addressing challenges like grid congestion and the need for more robust, data-driven control strategies. The resulting advancements have significant implications for grid modernization and the transition to a more sustainable energy system.