Application of AI in Power Systems

With the accelerated construction of smart grids and new power systems, artificial intelligence has been fully integrated into the whole chain of power generation, transmission, distribution and consumption, serving as a core technical support for the safe, efficient and low-carbon operation of power grids.
 
In power generation, AI predicts wind and photovoltaic output based on meteorological and sensor data to smooth new energy fluctuations and boost consumption. It optimizes equipment angles and unit parameters to raise power generation efficiency for renewable, thermal and hydropower stations. Sensor data analysis enables early fault warnings for generators and transformers, shifting maintenance from regular inspections to predictive maintenance.
 
For power transmission and dispatching, AI delivers high-precision power load forecasting to support cross-regional power allocation. Combined with UAV image recognition, it automatically detects line icing, damage and wildfire risks, realizes second-level fault location and automatic isolation to avoid cascading grid failures. Power industry large models generate optimal dispatching schemes to stabilize grid operation.
 
On the distribution side, AI monitors switchgears, cables and distribution transformers to predict overheating and partial discharge faults. It coordinates distributed resources including rooftop PV, energy storage and charging piles to optimize power flow and realize rapid fault self-healing to cut power outages.
 
At the power consumption and market end, AI analyzes power consumption patterns to guide peak load shifting. Virtual power plants aggregate flexible loads and energy storage to participate in grid frequency regulation and power trading. Together with smart meters, AI supports energy efficiency analysis and intelligent customer service.
 
In the future, power large models, edge AI and digital twins will realize full-process intelligentization of prediction, dispatching, maintenance and trading, facilitating energy low-carbon transition and carbon peaking and carbon neutrality goals.