Application Analysis and Exploration of Hybrid-Augmented Intelligence in Power System.

The new generation of artificial intelligence (AI) technology will play an important role in promoting the digitalization, informatization and intelligence of the future power grid due to its high-dimensional state intelligent perception and rapid decision-making capabilities. However, its inherent shortcomings such as poor interpretability and fragility also limit the further application of AI technology in power systems. This paper first introduces hybrid-augmented intelligence (HAI) technology and its application development in the fields of autonomous driving and industrial robots. Combining the characteristics of the power system and AI technology, the requirements of the power system for HAI are analyzed and summarized. Secondly, the key technologies involved in human-machine collaborative HAI are analyzed in terms of data processing, model training and model application. On this basis, the application of HAI technology in typical scenarios such as power flow section regulation is designed and analyzed, which provides reference for subsequent engineering applications. Finally, the challenges faced by the application of HAI in power systems are analyzed and prospected, aiming to promote and enrich the development of basic theories and key technologies of hybrid intelligence in power systems.