Feeder Automation-based Self Identification of Fault Specific Variables for New-type Distribution Lines
In order to reduce the risk of overvoltage,personnel injury,equipment damage,and other accidents caused by single-phase disconnection faults in new-type distribution lines in feeder automation environments,this paper proposes a single-phase disconnection fault specific variables identification method based on the negative sequence voltage current cor-relation coefficient.By studying the phase relationship between negative sequential voltage and current in the single-phase broken line negative sequential equivalent network of the distribution network under the background of feeder automation,the correlation coefficients of negative sequential voltage and current in the upstream line of the fault characteristic point are collected.The results show that when a single-phase disconnection fault occurs,the correlation coefficient between the negative sequential voltage and current of the upstream line of the fault characteristic point is negative,while the correla-tion coefficient between the negative sequential voltage and current of the normal operating line and the fault line branch is positive.Therefore,the collection and analysis of this specific variable can effectively identify single-phase break faults in distribution lines based on feeder automation,and accurately locate the faulty area.
feeder automationnew-type distribution networkfault specific variableself identification systemsingle phase disconnection
万方数据
维普
