Framework Design of Power System Situation Cognition and Operational Risk Assessment Technology Based on Probability Statistics and Deep Learning

At present, the new-type power system presents the characteristics of diversified subjects, high uncertainty, and high dimensional nonlinearity. Its operation situation is affected by the random changes of massive subjects, and faces numerous unknown risks as well as serious contradiction of distributed energy accommodation. Moreover, with the increasing percentage of distributed energy connected to the new-type power system, the existing distributed energy has a significant impact on the complexity of power system operation. Therefore, in order to address the above issues, this paper designed a novel framework of power system situation cognition and operational risk assessment technology based on probability statistics and deep learning, to improve the perception and understanding level and the traceability analysis ability for the complexity generated by the interaction among multiple subjects of the new-type power system, thus comprehensively perceiving the operation situation of the new-type power system and recognizing potential risks..