Estimation of Sensitive Equipment Disruptions Due to Voltage Sags

Author

Lu, Chan-Nan ; Shen, Cheng-Chieh

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung

Volume

22

Issue

2

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

1132

Lastpage

1137

Abstract

This paper presents a method for predicting the number of equipment disruptions due to voltage sags in a unit of time based on a concept described in IEC 61000-3-7. The proposed method uses the probabilistic distributions of system disturbance and equipment immunity indices obtained from a unified fuzzy inference engine to represent the disturbance severity and equipment susceptibility of voltage sags. It takes stochastic behavior of service performance into account in the estimation of equipment disruption. The proposed framework is also applicable if other power-quality indices, such as the voltage sag energy index and voltage sag severity index, are adopted. It can be used as an alternative for performing voltage sag coordination and financial analysis

Keywords

fault diagnosis; fuzzy set theory; inference mechanisms; power supply quality; probability; IEC61000-3-7; equipment estimation sensitivity; equipment susceptibility; financial analysis; power quality indices; probabilistic distributions; system disturbance; unified fuzzy inference engine; voltage sags; Costs; Engines; Fuzzy systems; IEC standards; Immunity testing; Power quality; Scattering; Stochastic processes; Test equipment; Voltage fluctuations; Disturbance level; equipment disruption; fuzzy index; immunity level; power quality (PQ); voltage sag;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/TPWRD.2007.893433

Filename

4141134