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.