Analysis of high impedance faults using fractal techniques

Author

Mamishev, A.V. ; Russell, B.D. ; Benner, Carl L.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

11

Issue

1

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

435

Lastpage

440

Abstract

Phase currents and voltages in a distribution power system change with a certain degree of chaos when high impedance faults (HIFs) occur. This paper describes application of the concepts of fractal geometry to analyze chaotic properties of high impedance faults. Root-mean-square rather that instantaneous values of currents are used for characterization of temporal system behavior; this results in relatively short time-series available for analysis. An algorithm is presented for pattern recognition and detection of HIFs; it is based on techniques suited for analysis of relatively small data sets. Examples are given to illustrate the ability of this approach to discriminate between faults and other transients in a power system

Keywords

chaos; distribution networks; electrical faults; fractals; power system analysis computing; time series; RMS currents; algorithm; chaotic properties; computer simulation; distribution power system; fractal geometry; high impedance fault analysis; pattern recognition; phase currents; phase voltages; temporal system behavior; time-series; Chaos; Fractals; Geometry; Impedance; Pattern recognition; Power system analysis computing; Power system faults; Power system transients; Time series analysis; Voltage;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.486130

Filename

486130