Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph.

ABSTRACT: The smart grid is on the basis of physical grid, introducing all kinds of advanced communications technology and form a new type of power grid. It can not only meet the demand of users and realize the optimal allocation of resources, but also improve the safety, economy and reliability of power supply, it has become a major trend in the future development of electric power industry. But on the other hand, the complex network architecture of smart grid and the application of various high-tech technologies have also greatly increased the probability of equipment failure and the difficulty of fault diagnosis, and timely discovery and diagnosis of problems in the operation of smart grid equipment has become a key measure to ensure the safety of power grid operation. From the current point of v

SUBMITTER: Jun L 

PROVIDER: S-EPMC11828369 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature