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The invention relates to the technical field of power grid data analysis and artificial intelligence, and particularly discloses a dynamic knowledge graph online reasoning method and system for power grid event driving. The method comprises the following steps: semantizing a real-time event stream into a driving event; dynamically constructing a special sub-graph from the power grid knowledge graph; performing multi-path deduction on the sub-graph and calculating a comprehensive confidence coefficient for each path; acquiring actual feedback in a post-event time window as a verification reference; arbitration is carried out based on the verification benchmark and the confidence coefficient, and a target evolution path is screened out; and generating graph evolution operation according to the target path and the competition path information of the target path, and performing incremental adjustment on the knowledge graph. The system correspondingly comprises an event perception module, a dynamic sub-graph construction module, a reasoning evaluation module, a feedback arbitration module, a graph evolution module and the like. According to the method, online reasoning under event driving and adaptive co-evolution of the knowledge graph are realized, and the accuracy and the intelligent level of real-time situation analysis of the power grid are improved.