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http://dx.doi.org/10.18770/KEPCO.2018.04.01.013

Development of Visualization Model for Probabilistic Analysis of Cascading Failure Risks  

Choy, Youngdo (KEPCO Research Institute, Korea Electric Power Corporation)
Baek, Ja-hyun (KEPCO Research Institute, Korea Electric Power Corporation)
Kim, Taekyun (KEPCO Research Institute, Korea Electric Power Corporation)
Jeon, Dong-hoon (KEPCO Research Institute, Korea Electric Power Corporation)
Yoon, Gi-gab (KEPCO Research Institute, Korea Electric Power Corporation)
Park, Sang-Ho (KEPCO Research Institute, Korea Electric Power Corporation)
Goo, Bokyung (Department of Energygrid, Sangmyung University)
Hur, Jin (Department of Energygrid, Sangmyung University)
Publication Information
KEPCO Journal on Electric Power and Energy / v.4, no.1, 2018 , pp. 13-17 More about this Journal
Abstract
According to the recent blackouts, large blackouts can be described by cascading outages. Cascading outage is defined by sequential outages from an initial disturbance. Sequential and probabilistic approach are necessary to minimize the blackout damage caused by cascading outages. In addition, conventional cascading outage analysis models are computationally complex and have time constraints, it is necessary to develop the new analytical techniques. In this paper, we propose the advance visualization model for probabilistic analysis of cascading failure risks. We introduce the visualization model for identifying size of cascading and potential outages and estimate the propagation rate of sequential outage simulation. The proposed model is applied to Korean power systems.
Keywords
Cascading Outage; Probability Analysis; Cascading Outage Model; Sequential Cascading Simulation; Visualization Model;
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1 European Network of Transmission System Operators for Electricity (ENTSO-E) Project Group Turkey. Report on Blackout in Turkey on 31 March 2015, ENTSO-E: Brussels, Belgium, 2015.
2 Dobson, Ian. "Estimating the propagation and extent of cascading line outages from utility data with a branching process." IEEE Transactions on Power Systems, Vol. 27, No. 4, 2012, pp2146-2155.   DOI
3 Kim, Janghoon, and Ian Dobson. "Approximating a loadingdependent cascading failure model with a branching process." IEEE Transactions on Reliability, Vol. 59, No. 4, 2010, pp691-699.   DOI
4 Hines, Paul DH, Ian Dobson, and Pooya Rezaei. "Cascading power outages propagate locally in an influence graph that is not the actual grid topology." IEEE Transactions on Power Systems, Vol. 32, No. 2, 2017, pp958-967.   DOI
5 Bienstock, Daniel. Electrical Transmission System Cascades and Vulnerability: An Operations Research Viewpoint. Society for Industrial and Applied Mathematics, 2015.
6 Rezaei, Pooya, Margaret J. Eppstein, and Paul DH Hines. "Rapid Assessment, Visualization, and Mitigation of Cascading Failure Risk in Power Systems." System Sciences (HICSS), 2015 48th Hawaii International Conference on. IEEE, 2015.
7 Lee, S. T. "Probabilistic online risk assessment of non cascading and cascading transmission outage contingencies," Int'l Trans. on Electrical Energy Systems, Vol. 18, No. 8, 2008, pp835-853.