Artificial Intelligence on Power Flow Stability Control of High-Penetration Wind–Solar-ES (Energy Storage) Distribution Grid Network

With the rapid development of new energy systems, the stability of the power system is challenged. By adding energy storage links access to the power system, the original source–grid–load structure has been transformed into source–grid–load-ES (energy storage) structure. In order to monitor the stability of the high-penetration wind–solar-ES distribution network, this paper starts from the flow stability of the renewable power system, establishes a stability monitoring matrix as artificial intelligence, and uses the fluctuation of current and power flow as the measurement index to establish reasonable monitoring points for each parameter to encounter the demand of the point with the highest fluctuation. By monitoring and comparing various fluctuation indicators of the power flow in the high-penetration wind–solar-ES distribution grid with wind–solar power access ratio of 10–50%, the stability data of the power flow in the high-penetration wind–solar-ES distribution grid is determined, providing reference for the stable operation of the rapidly developing new power system.