Substation Immunity Improvement Strategy Based on Dynamic Credible Knowledge Graph

With the construction of new power system, ensuring the safety of substation configuration have become the key to the operation of the power grid. In order to improve the automation and intelligence level of substation configuration verification and reinforcement work, this paper proposes a substation immunity improvement strategy based on dynamic trusted knowledge graph. On the basis of fully combining the advantages of trusted computing and knowledge graph, the article builds a dynamic trusted knowledge graph for substation intelligent configuration verification, and then studies the reinforcement matching strategy based on BERT natural language processing for the existing loopholes. The test results show that compared with the traditional configuration verification and hardening method, the strategy reduces the traditional maintenance time from 8 hours to 2 minutes. The research results of this article not only enhance the autoimmune ability and automation level of the substation, but also significantly improve the work efficiency of the post workers, which has significant social and economic benefits.