A Rapid Risk Assessment Method for Distribution Network Based on K-Nearest Neighbors

High proportion of new energy access makes grid operation uncertainty increase, operation mode adjustment more frequent. In this paper, we developed a rapid risk assessment method for distribution network (DN). First, the collected data from PMUs is pre-processing by using PCA. Then, a grid stability index based on three risk indicators is proposed. Finally, the processed data is combined with the index and the K-Nearest Neighbors (KNN) to predict the real-time index and achieve the online operation risk assessment for DN. The proposed method is tested with IEEE 33-node system and be proved that it has a good performance with a small number of PMUs.