Application of Large Language Models in Power System Operation and Control

The introduction of "carbon peak" and "carbon neutrality" targets and the vigorous advancement of national energy market construction, renewable energy sources like wind and solar power are experiencing rapid development. However, this also brings challenges in accounting for uncertainties in various operational scheduling and optimization control processes of the power system, especially for the theoretical control methods. Fortunately, Large language model (LLM) with rapid development has shown promising prospects in the power sector. This review summarizes the application of LLM technology in power system operation and control, outlining the new power system's demand for AI technology, the impact of LLM on system management, and the technological foundation including network architecture, training methods, and data configuration. Finally, it explores the applications of LLM in power system operation and control from the perspectives of generation, transmission, distribution, consumption, and equipment.