Research on Fault Identification of Transmission Line Windage Tripping Based on Improved Decision Tree Algorithm
Currently prevailing technologies of identifying wind-induced tripping generally adopt independent node structure and are confounded by small recognition range and increased false positive rate.Therefore,this paper proposes a wind-induced tripping fault identification method for transmission lines based on an improved decision tree algorithm.The method first extracts the basic fault features and adopts a multi-level approach to expand the identifiable range,and arran-ges multi-objective fault identification nodes.Second based on the arranged nodes it constructs a modified-decision-tree-based calculation model of wind-induced tripping faults and uses random locking processing to achieve fault identification.The proposed method has been preliminarily proved by test results capable of control the false positive rate below 20%which is superior to those obtained by conventional technologies including GRU-based three-terminal method,long-short-term memory network method,and the random matrix method.This indicated a potential applicative value of modified-de-cision-tree-assisted fault identification manifested by faster identification and well-controlled false positive rate.
modified decision tree algorithmtransmission linewind-induced trippingfault identificationremote con-trolled identification