Fault Location Algorithm for Power Grid Based on Protection Status Infor-mation and Aggregation Hierarchical Clustering

Aiming at the problems that the existing grid fault location algorithms do not have a reasonable utilization rate of grid fault information, which leads to the lack of fault location accuracy and fault tolerance, this paper proposes a fault location algorithm for power grid based on protection status information and Aggregation Hierarchical Clustering (AGC). First, obtain the state information of each circuit breaker and its various protections through intelligent electronic devices (IEDs), construct the feature vector for fault location, and use it as the input of the algorithm. Second, the clustering analysis of feature vector sets is carried out by using the Aggregation Hierarchical Clustering Algorithm. Finally, the clustering results are analyzed according to the correlation between the components and the IED to obtain the faulty components. Simulation comparison experiments show that, compared with existing power grids based on K-means, FCM and other clustering algorithms fault localization algorithm, this algorithm has the advantage of not needing to specify the number of clusters in advance, the fault localization results are more stable, and the accuracy and fault tolerance of IED information are improved.