Abstract

The security and stability control system are the guarantees the safety of the power grid, and the security and stability control strategy plays an important role in ensuring the stable operation of security and stability control equipment and system. To better management of strategy and realize the function of fast search, combing with artificial intelligence technology to model, manage, and apply security and stability control strategy is a new development direction. This paper put forward a framework of knowledge-graph-based security and stability control strategy, benefits from the regularity of the components of most security control strategies, by sorting out the relationship between the elements of security control strategy, and designing a structured knowledge network that can be presented and operated. The ontology model of the knowledge graph is divided into two parts: the strategy table and the complete strategy, the first is to analyze the strategy table the most important part of the strategy, based on the completed ontology design of the strategy table, perfect the logical relationship to realize the model of the complete strategy. Finally, on the Neo4j, finish the construction of the knowledge graph of that security and stability control strategy, and achieve the purpose of strategy management and rapid retrieval of the security control strategy.

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