Resource Potential Feature Extraction Method for Flexible Response of Power System Considering Uncertain Demand

To alleviate peak shaving pressure, a flexible resource potential feature extraction method based on uncertain demand is proposed for power systems, focusing on air conditioning, electric vehicles, and energy storage batteries. Build an uncertain demand response model and use set pair and fuzzy set algorithms to extract features. Simulation shows that the result error is controllable, showing a periodic positive correlation, and as the temperature rises, the response demand, resource potential, and system uncertainty all increase.