A Heuristic Approach for Predicting Fault Locations in Distribution Power Systems

Author

Nastac, Laurentiu ; Thatte, Anupam A.

Author_Institution

Concurrent Technol. Corp., Pittsburgh, PA

fYear

2006

fDate

17-19 Sept. 2006

Firstpage

9

Lastpage

13

Abstract

The first step in restoring systems after a fault is detected, is determining the fault location. The large number of candidate locations for the fault makes this a complex process. Knowledge based methods have the capability to accomplish this quickly and reliably. In this paper, a heuristic approach has been used to predict potential fault locations. A software tool implements the heuristic rules and a genetic algorithm based search. The implementation and evaluation results of this tool have been presented.

Keywords

fault location; genetic algorithms; heuristic programming; power distribution faults; power engineering computing; power system restoration; distribution power systems; fault locations prediction; genetic algorithm; heuristic approach; system restoration; Circuit analysis computing; Circuit faults; Distributed computing; Electrical fault detection; Fault detection; Fault location; Genetic algorithms; Power system faults; Power system restoration; Software tools; Distribution Power System; Fault Location; Genetic Algorithm; Knowledge Based System;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Symposium, 2006. NAPS 2006. 38th North American

Conference_Location

Carbondale, IL

Print_ISBN

1-4244-0227-1

Electronic_ISBN

1-4244-0228-X

Type

conf

DOI

10.1109/NAPS.2006.360136

Filename

4201307