Research on the algorithm for identifying the correlation between power outage plans based on knowledge graph

In the complex process of arranging power outage plans in the power grid, the correlation between each outage plan will be accurately defined based on rich historical arrangement experience and professional knowledge, in order to achieve preliminary optimization and processing of outage plan data. Due to the heavy workload of power grid outage planning, traditional manual scheduling methods are not only inefficient, but also susceptible to subjective interference, affecting the accuracy and reliability of scheduling. To this end, the electric power knowledge graph algorithm is introduced to accurately distinguish the correlation between power outage plans through intelligent means. Firstly, a comprehensive analysis was conducted on the application characteristics of knowledge graph algorithms in the field of power dispatch. On this basis, the discrimination rules between "simultaneous power outage" and "non simultaneous power outage" plans in the power grid outage plan were thoroughly sorted out, and the topology structure of the power grid and the outage plan were ingeniously separated into entities, successfully constructing a knowledge graph based outage plan correlation discrimination algorithm. The verification results show that the knowledge graph based discrimination algorithm proposed in this paper can efficiently and accurately identify the complex correlation relationships between different power outage plans. In practical applications, it significantly reduces the risk of repeated power outages and power outage plan conflicts, effectively improving the intelligence level and execution efficiency of power grid power outage plan scheduling, and has high promotion and application value.