Title :
Synchronized Measurements-Based Algorithm for Short Transmission Line Fault Analysis
Author :
Terzija, Vladimir ; Preston, Gary ; Stanojevic, Vladimir ; Elkalashy, Nagy I. ; Popov, Marjan
Author_Institution :
Univ. of Manchester, Manchester, UK
Abstract :
A new numerical algorithm for the analysis of single line to ground faults on short overhead transmission lines is presented in this paper. It is based upon synchronized sampling at two line ports, and an accurate fault model including the arcing phenomena and tower footing resistance at the fault point. The core of the algorithm is an efficient nonrecursive parameter estimation method. A dynamic arc model is included in the fault model to represent the arc´s interaction with the external power network. The algorithm accurately estimates the arc voltage amplitude, tower footing resistance, and the fault location, simultaneously. The algorithm is derived in the time domain, and is based on the synchronized acquisition of currents and voltages at both line terminals. Case studies based on simulated data are presented to demonstrate the effectiveness of the new method. In particular, the sensitivity of the proposed algorithm to synchronization errors, harmonics, line capacitance, and fault resistance were explored with lumped, distributed, transposed, and untransposed line models.
Keywords :
arcs (electric); estimation theory; fault location; power overhead lines; power system measurement; power transmission faults; synchronisation; arc voltage amplitude; dynamic arc model; line capacitance; nonrecursive parameter estimation method; short overhead transmission lines; short transmission line fault analysis; single line to ground faults; synchronization errors; synchronized measurements-based algorithm; tower footing resistance; untransposed line models; Algorithm design and analysis; Fault location; Parameter estimation; Power transmission lines; Resistance; Voltage measurement; Auto-reclosure; electrical arc; fault analysis; numerical protection; parameter estimation; synchronized sampling;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2436878