• 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