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Software implementation of online risk-based security assessment

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7 Author(s)
Ming Ni ; Iowa State Univ., Ames, IA, USA ; McCalley, J.D. ; Vittal, V. ; Greene, S.
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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 US utility are presented and serve to illustrate the benefits of the software.

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Power Systems, IEEE Transactions on  (Volume:18 ,  Issue: 3 )