Power Grid Simulator

Power grid simulators are computational tools used to model and analyze the behavior of electricity grids, primarily aiming to improve grid stability, efficiency, and resilience. Current research focuses on integrating large language models (LLMs) to enhance simulation capabilities and incorporating machine learning techniques, such as reinforcement learning and deep operator networks, to optimize grid control and predict dynamic responses. These advancements are crucial for addressing challenges like peak demand reduction, improving demand response strategies, and enhancing grid resilience against disruptions, ultimately contributing to a more reliable and sustainable power system.