Stochastic estimation of voltage sags in a large meshed network

Chang Hyun Park, Gilsoo Jang

Research output: Contribution to journalArticle

122 Citations (Scopus)


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
Issue number3
Publication statusPublished - 2007 Dec 1


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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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