1.China Electric Power Research Institute (Nanjing), Nanjing 210003, China;2.School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China;3.Foshan Graduate School of Innovation, Northeastern University, Foshan 528311, China

There has been a research upsurge of applying artificial intelligence (AI) to the decision-making of power systems dispatch. However, the defects of existing AI technologies in generalization, safety and interpretability have become the bottleneck that hinders its practical application. As one of five technological directions of the new generation AI, the hybrid-augmented intelligence introduces human cognition to AI systems, which forms a hybrid intelligence pattern together with machine intelligence. It is expected to offer an important methodology to break through the application bottleneck of current AI. This paper establishes a theoretical basis for promoting the current machine-aided dispatch mode to hybrid-augmented intelligent dispatch, and investigates the fundamental framework of hybrid-augmented intelligent dispatch which is further described as a mechanism and a method of human-machine collaborative knowledge evolution. Firstly, the existing research on applying AI to the power system dispatch is analyzed. Secondly, the connotation of collaborative knowledge evolution is clarified and its scientific problems are proposed. Thirdly, the realization idea of collaborative knowledge evolution is discussed and is further summarized as “one framework, two passageways, and one reasoning mechanism”. Finally, this paper investigates the four key technologies of collaborative knowledge evolution, including knowledge framework, knowledge acquisition, knowledge explanation, and knowledge reasoning. The research reference ideas and realization solutions for the four technologies are also provided.

This work is supported by National Natural Science Foundation of China (No. U2066212).