Publication: Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
Date
2010
Authors
Alanzi E.A.
Younis M.A.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This paper presents a new technique for accurate fault locator based on synchronized voltage measurement and smooth support vector machines (SSVM) HV teed feeder transmission line. The approach consists of detection of faulted branch, classification of fault type and determination of exact fault location. Post-fault measured voltages waveforms are collected from only two ends of the three branches teed feeder system. The application of SSVM (Classification and Regression) is practiced for training, testing and validating of the faulted waveforms data set leading to the exact fault location on the system. Several fault conditions are analyzed, trained, tested and validated. The proposed technique is tested and found insensitive to variation of different parameters such as fault type, fault resistance and fault inception angle. ATPEMTP program is used for simulation of faulted data for a 275KV teed feeder transmission system. �2010 IEEE.
Description
Keywords
Fault location , SSVM , Synchronized voltage , Teed feeder , Classification (of information) , Electric power transmission , Feeding , Location , Materials handling equipment , Statistical tests , Support vector machines , Synchronization , Voltage measurement , ATP-EMTP , Data sets , Fault conditions , Fault inception angles , Fault location , Fault locator , Fault resistances , Fault types , Feeder system , Smooth support vector machine , SSVM , Synchronized voltage , Synchronized voltage measurements , Teed feeder , Three-branch , Transmission line , Transmission systems , Wave forms , Fault detection