Software Implementation of Online Risk-Based Security Assessment

M. Ni; J. D. McCalley; V. Vittal; S. Greene; C. W. Ten; V. S. Ganugula; T. Tayyib

doi:10.1109/MPER.2002.4311833

Software Implementation of Online Risk-Based Security Assessment

M. Ni, J. D. McCalley, V. Vittal, S. Greene, C. W. Ten, V. S. Ganugula, T. Tayyib

Research output: Contribution to journal › Review article › peer-review

8 Scopus citations

Abstract

This paper describes software implementation for online risk-based security assessment that 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. Focus is 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 language	English (US)
Pages (from-to)	59
Number of pages	1
Journal	IEEE Power Engineering Review
Volume	22
Issue number	11
DOIs	https://doi.org/10.1109/MPER.2002.4311833
State	Published - 2002
Externally published	Yes

Keywords

Security assessment
cascading
control center
decision-making
operations
overload
probabilistic risk
uncertainty
visualization
voltage instability

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/MPER.2002.4311833

Cite this

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title = "Software Implementation of Online Risk-Based Security Assessment",

abstract = "This paper describes software implementation for online risk-based security assessment that 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. Focus is 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.",

keywords = "Security assessment, cascading, control center, decision-making, operations, overload, probabilistic risk, uncertainty, visualization, voltage instability",

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AU - Ni, M.

AU - McCalley, J. D.

AU - Vittal, V.

AU - Greene, S.

AU - Ten, C. W.

AU - Ganugula, V. S.

AU - Tayyib, T.

PY - 2002

Y1 - 2002

N2 - This paper describes software implementation for online risk-based security assessment that 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. Focus is 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.

AB - This paper describes software implementation for online risk-based security assessment that 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. Focus is 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.

KW - Security assessment

KW - cascading

KW - control center

KW - decision-making

KW - operations

KW - overload

KW - probabilistic risk

KW - uncertainty

KW - visualization

KW - voltage instability

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DO - 10.1109/MPER.2002.4311833

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VL - 22

SP - 59

JO - IEEE Power Engineering Review

JF - IEEE Power Engineering Review

IS - 11

ER -

Software Implementation of Online Risk-Based Security Assessment

Abstract

Keywords

ASJC Scopus subject areas

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