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
Link To Document :
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