Active identification method of power network topology anomaly based on graph database

Abstract

The conventional active identification method of power grid topology anomaly mainly uses the R bit continuity method to obtain the topology anomaly threshold, which is vulnerable to the influence of bus sequence approximation, resulting in a long time for topology inversion. Therefore, a new active identification method of power grid topology anomaly needs to be designed based on the graph database. That is, the graph database is used to generate the active identification and search process of power grid topology anomaly, establish the dynamic model of active identification of power grid topology, design the active identification algorithm of power grid topology anomaly, and thus realize the active identification of topology anomaly. The experimental results show that the designed active identification method for power grid topology anomaly based on graph database has a good recognition effect, and the inversion topology optimization time of different nodes is relatively short, which has high efficiency and certain application value, and has made certain contributions to reducing the risk of power grid operation.