Stochastic estimation of voltage sags in a large meshed network

Chang Hyun Park, Gilsoo Jang

Research output: Contribution to journalArticlepeer-review

125 Citations (Scopus)

Abstract

This paper presents a method for stochastic prediction of voltage sags caused by faults in a power system. The area of vulnerability must be determined to estimate the expected sag frequency (ESF) at a sensitive load site. However, the area of vulnerability is not easy to identify in a large meshed network. In the paper, the residual phase voltage equations for balanced and unbalanced faults are presented, and an efficient method to determine the area of vulnerability in a large meshed network is described. An ESF estimation method based on Information Technology Industry Council (ITIC) curve is also described. The developed method was applied to the IEEE 30-bus test system.

Original languageEnglish
Pages (from-to)1655-1664
Number of pages10
JournalIEEE Transactions on Power Delivery
Volume22
Issue number3
DOIs
Publication statusPublished - 2007

Keywords

  • Area of vulnerability
  • Power quality
  • Stochastic assessment
  • Voltage sags

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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