A new methodology for probabilistic short-circuit evaluation with applications in power quality analysis

Author

Bordalo, Ulisses A. ; Rodrigues, Anselmo B. ; Da Silva, Maria G.

Author_Institution

Dept. of Electr. Eng., Fed. Univ. of Maranhao, Sao Luis Maranhao, Brazil

Volume

21

Issue

2

fYear

2006

fDate

5/1/2006 12:00:00 AM

Firstpage

474

Lastpage

479

Abstract

The main aim of this paper is to propose a probabilistic short-circuit approach to generate the probability distributions of the System Average RMS Variation Index (SARFI) index. The proposed methodology is based on the combination of the admittance summation method in phase coordinates with the Monte Carlo method. This new approach has been tested in a feeder belonging to an electricity distribution company in the Northeast of Brazil to generate the probability distributions of the SARFI index. The tests results demonstrated that the proposed model is a powerful tool to stochastic prediction of voltage sags.

Keywords

Monte Carlo methods; power distribution lines; power supply quality; short-circuit currents; statistical distributions; Brazil; Monte Carlo method; admittance summation method; electricity distribution company; power quality analysis; probabilistic short-circuit evaluation; probability distribution; stochastic prediction; system average RMS variation index; voltage sags; Admittance; Circuit faults; Impedance; Monitoring; Power generation; Power quality; Predictive models; Probability distribution; Stochastic processes; Testing; Monte Carlo methods; power distribution planning; power quality; short-circuit currents;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2006.873055

Filename

1626349