Identification of Severe Multiple Contingencies in Electric PowerSystems

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In this work, we propose a computationally feasible approachtodetect severe multiple contingencies. We pose a contingency analysisproblem using a nonlinear optimization framework, which enables ustodetect the fewest possible transmission line outages resulting ina systemfailure of specified severity, and the most severe system failure causedby removing a specified number of transmission lines from service.Illustrations using a three bus system and the IEEE ~;30 bus system aimto exhibit the effectiveness of the proposed approach.

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Donde, Vaibhav; Lopez, Vanessa; Lesieutre, Bernard; Pinar, Ali; Yang, Chao & Meza, Juan June 14, 2006.

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In this work, we propose a computationally feasible approachtodetect severe multiple contingencies. We pose a contingency analysisproblem using a nonlinear optimization framework, which enables ustodetect the fewest possible transmission line outages resulting ina systemfailure of specified severity, and the most severe system failure causedby removing a specified number of transmission lines from service.Illustrations using a three bus system and the IEEE ~;30 bus system aimto exhibit the effectiveness of the proposed approach.

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  • Journal Name: IEEE Transactions on Power Systems; Journal Volume: 23; Journal Issue: 2; Related Information: Journal Publication Date: 05/2008

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  • Report No.: LBNL--60511
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 929753
  • Archival Resource Key: ark:/67531/metadc894305

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  • June 14, 2006

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  • Sept. 27, 2016, 1:39 a.m.

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  • Sept. 29, 2016, 2:51 p.m.

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Donde, Vaibhav; Lopez, Vanessa; Lesieutre, Bernard; Pinar, Ali; Yang, Chao & Meza, Juan. Identification of Severe Multiple Contingencies in Electric PowerSystems, article, June 14, 2006; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc894305/: accessed September 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.