Abstract: Against the background of dual carbon goals, the unified national electricity market, and increasingly prominent regional power supply and demand contradictions, power supply enterprises carry out intelligent data perception, twin modeling of discrete power points, and accurate interaction between virtual and real data based on their own conditions and multi-party collaboration. These tasks rely on digital twins, artificial intelligence, big data, cloud computing, the Internet of Things, mobile communication, and intelligent technologies. A county-level hydro-photovoltaic-storage clean energy aggregation twin AI model is constructed. Based on this platform, this paper carries out hydro-photovoltaic-storage microgrid operation based on the Grey Wolf Optimizer, tie-line power smoothing control based on filtering algorithms, regional clean energy generation forecasting based on neural network algorithms, and aggregated response of reservoir hydropower stations based on decision tree algorithms. The platform realizes comprehensive monitoring and refined management of regional clean energy, alleviates power supply and demand pressure.