Research on Data Classification and Risk Level Perception of Weak Distribution Network

Abstract

It is necessary to flexibly analyze and process multi-source heterogeneous data of weak distribution network. It is also of great significance to accurately predict and perceive the fault risk of weak distribution network. Both are helpful to improve the accuracy and effectiveness of operation analysis and decision-making of weak distribution network. This paper proposes a data processing and risk perception method for weak distribution network under fault conditions. Through the pretreatment of distribution network fault data, the distribution network fault classification is completed. Distribution network analysis should also consider the security, economy and stability of the network structure. The multi-angle evaluation and identification of key nodes are established. Finally, using the improved decision tree classification method, the distribution network fault risk level prediction is realized. An example verifies the effectiveness of the method. This method provides an effective decision-making basis for early risk perception and prevention and control of weak distribution network.