Software implementation of online risk-based security assessment

Ming Ni, James D. McCalley, Vijay Vittal, Scott Greene, Chee Wooi Ten, Vijaya Sudhakar Ganugula, Tayyib Tayyib

Research output: Contribution to journalArticlepeer-review

112 Scopus citations


This paper describes software implementation for online risk-based security assessment which computes indices based on probabilistic risk for use by operators in the control room to assess system security levels as a function of existing and near-future network conditions. The paper focuses on speed enhancement techniques that are essential for online application and result visualization methods that offer clear and meaningful ways to enhance human assimilation and comprehension of security levels. Results of testing on a series of 1600 bus power flow models retrieved from the energy management system of a large U.S. utility are presented and serve to illustrate the benefits of the software.

Original languageEnglish (US)
Pages (from-to)1165-1172
Number of pages8
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - Aug 2003
Externally publishedYes


  • Cascading
  • Control center
  • Decision-making
  • Operations
  • Overload
  • Probabilistic risk
  • Security assessment
  • Uncertainty
  • Visualization
  • Voltage instability

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Software implementation of online risk-based security assessment'. Together they form a unique fingerprint.

Cite this