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dc.contributor.authorHeidari-Kapourchali, Mohammad
dc.contributor.authorSepehry, Mojtaba
dc.contributor.authorZhao, Long
dc.contributor.authorAravinthan, Visvakumar
dc.identifier.citationM. Heidari-Kapourchali, M. Sepehry, Long Zhao and V. Aravinthan, "Reliability analysis of cyber-enabled power distribution system using sequential Monte-Carlo," North American Power Symposium (NAPS), 2015, Charlotte, NC, 2015, pp. 1-6en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractCyber-enabled power system places higher requirements on the reliability of communication infrastructure. This paper proposes an approach to calculate reliability of distribution networks in the presence of communication media. Communication failure is incorporated into sequential Monte Carlo simulation using a uniform probability distribution function. A straightforward matrix representation is developed to analyze the impact of fault on each load point. Several scenarios are discussed to illustrate the impact of potential communication failures. For each scenario energy not supplied is calculated for Bus 2 of RBTS. The results show the necessity of evolving well-established reliability calculation methods.en_US
dc.relation.ispartofseriesNorth American Power Symposium (NAPS);2015
dc.subjectCyber-Enabled technologiesen_US
dc.subjectEnergy not supplieden_US
dc.subjectSequential Monte Carloen_US
dc.titleReliability analysis of cyber-enabled power distribution system using sequential Monte-Carloen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US

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