The Application Progress of Artificial Intelligence Technology in The Optimal Dispatch of Smart Grids

With a high proportion of new energy sources connected to the power grid, the traditional dispatching model is facing severe challenges in dealing with uncertainties.To address this challenge, this article systematically reviews the progress of the application of artificial intelligence(AI) technology in the optimization scheduling of smart grids..The research focuses on three core methods: data-driven prediction, multi-objective optimization decision-making, and real-time perception diagnosis.Case studies have shown that artificial intelligence technology can systematically enhance the operational efficiency of power grids. In scenarios such as new energy grid connection, energy storage scheduling, and safety management, it has achieved significant reductions in the rate of wind power abandonment and a qualitative improvement in the efficiency of fault handling.The research has verified the crucial role of artificial intelligence technology in facilitating the transformation of power grid dispatching from "passive response" to "active optimization", and has provided a technical path and empirical basis for building an efficient and reliable new power system.