DocumentCode
797345
Title
Site variation and prediction of power quality
Author
Short, Tom A. ; Mansoor, Arshad ; Sunderman, Wes ; Sundaram, Ashok
Author_Institution
PEAC, EPRI, Schenectady, NY, USA
Volume
18
Issue
4
fYear
2003
Firstpage
1369
Lastpage
1375
Abstract
We use EPRI´s distribution power quality project data to characterize and predict voltage sags and momentary interruptions based on site characteristics. The quality of sites is widely dispersed. Rural sites have many more sags and momentary interruptions than suburban and urban sites. The strongest indicators of voltage sags are: 1) circuit exposure, 2) lightning, and 3) a term with transformer impedance and number of feeders. We develop a linear model for predicting sags and another for predicting momentary interruptions based on site characteristics. We also compare transmission-level power quality to distribution power quality.
Keywords
lightning; power distribution; power supply quality; power transformers; EPRI project; circuit exposure; distribution power quality; interruptions; lightning; power distribution; transformer impedance; urban sites; voltage sags; Circuits; Distortion measurement; Frequency; Impedance; Lightning; Monitoring; Phase distortion; Power distribution; Power quality; Predictive models;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2003.817755
Filename
1234694
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