Abstract: Power grid equipment is the key carrier of the new-type power system, and its management efficiency directly determines the safety and reliability of power supply. Against the background of the Dual Carbon goals, with the expansion of power grid scale and high-proportion grid connection of new energy, the limitations of traditional management modes and discriminative AI, such as "one model for one task" and weak generalization ability, have become prominent, which can hardly meet the requirements of lean management and control. Generative Artificial Intelligence (AIGC) provides a revolutionary solution to solve the pain points in equipment management. This paper elaborates its technical principles and scenario applicability, constructs an application system, analyzes the challenges in application scenarios and puts forward optimization paths, so as to provide theoretical and practical reference for the large-scale application of this technology.