Predicting the number of voltage dips as a function of both voltage and duration

Author

Wämundsson, Mikael ; Bollen, Math H J

Author_Institution

STRI AB, Ludvika

fYear

2008

fDate

Sept. 28 2008-Oct. 1 2008

Firstpage

1

Lastpage

6

Abstract

This paper present a method for predicting voltage dips as experienced by customers due to faults in the power grid. Where earlier methods considered only the magnitude (residual voltage) of the dips, this paper considers both magnitude and duration. A triangular distribution is assumed for the dip duration for each of three zones, together with probabilities for each zone. The dips are generated randomly by means of a Monte-Carlo simulation, with fault location along the line and dip duration as random variables. The results can next be analyzed by any of the methods developed for analyzing voltage-dip measurements. The method is illustrated by means of the dips experienced by an industrial installation connected to the 130-kV subtransmission network.

Keywords

Monte Carlo methods; installation; power grids; power system faults; transmission networks; Monte Carlo simulation; industrial installation; power grid faults; residual voltage; subtransmission network; triangular distribution; voltage 130 kV; voltage dip number; Fault location; Power grids; Power quality; Prediction methods; Predictive models; Probability density function; Random variables; Regulators; Stochastic processes; Voltage fluctuations; Power quality; stochastic prediction methods; subtransmission systems; voltage dips (sags);

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power, 2008. ICHQP 2008. 13th International Conference on

Conference_Location

Wollongong, NSW

Print_ISBN

978-1-4244-1771-1

Electronic_ISBN

978-1-4244-1770-4

Type

conf

DOI

10.1109/ICHQP.2008.4668789

Filename

4668789