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

doi:10.1109/TPWRS.2003.814909

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 journal › Article › peer-review

112 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	1165-1172
Number of pages	8
Journal	IEEE Transactions on Power Systems
Volume	18
Issue number	3
DOIs	https://doi.org/10.1109/TPWRS.2003.814909
State	Published - Aug 2003
Externally published	Yes

Keywords

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

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10.1109/TPWRS.2003.814909

Cite this

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abstract = "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.",

keywords = "Cascading, Control center, Decision-making, Operations, Overload, Probabilistic risk, Security assessment, Uncertainty, Visualization, Voltage instability",

author = "Ming Ni and McCalley, {James D.} and Vijay Vittal and Scott Greene and Ten, {Chee Wooi} and Ganugula, {Vijaya Sudhakar} and Tayyib Tayyib",

note = "Funding Information: Manuscript received July 17, 2002. This work was supported by the Electric Power Research Institute under Contract WO663101. M. Ni, J. D. McCalley and V. Vittal are with Iowa State University, Ames, IA 50010 USA (e-mail: mingni@iastate.edu; jdm@iastate.edu; vvittal@ iastate.edu). S. Greene is with Pricewaterhousecoopers LLP, USA (e-mail: scott.l.greene@us.pwcglobal.com). C.-W. Ten is with Siemens Energy Management, Singapore (e-mail: cheewooi.ten@siemens.com). V. S. Ganugula is with ESCA, Bellevue, WA 98004 USA (e-mail: vijaya. ganugula@esca.com). T. Tayyib is with the Electric Power Research Institute, Palo Alto, CA 94304 USA (e-mail: TTayyib@epri.com). Digital Object Identifier 10.1109/TPWRS.2003.814909",

year = "2003",

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doi = "10.1109/TPWRS.2003.814909",

language = "English (US)",

volume = "18",

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AU - Greene, Scott

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AU - Ganugula, Vijaya Sudhakar

AU - Tayyib, Tayyib

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KW - Decision-making

KW - Operations

KW - Overload

KW - Probabilistic risk

KW - Security assessment

KW - Uncertainty

KW - Visualization

KW - Voltage instability

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Software implementation of online risk-based security assessment

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Keywords

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