<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chhokra, Ajay</style></author><author><style face="normal" font="default" size="100%">Dubey, Abhishek</style></author><author><style face="normal" font="default" size="100%">Mahadevan, Nagabhushan</style></author><author><style face="normal" font="default" size="100%">Karsai, Gabor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Poster Abstract: Distributed Reasoning for Diagnosing Cascading Outages in Cyber Physical Energy Systems</style></title><secondary-title><style face="normal" font="default" size="100%">2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bus V-I samples</style></keyword><keyword><style  face="normal" font="default" size="100%">bus voltage-current samples</style></keyword><keyword><style  face="normal" font="default" size="100%">cascading outage diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">circuit breaker tripping</style></keyword><keyword><style  face="normal" font="default" size="100%">Circuit faults</style></keyword><keyword><style  face="normal" font="default" size="100%">Cognition</style></keyword><keyword><style  face="normal" font="default" size="100%">cyber elements</style></keyword><keyword><style  face="normal" font="default" size="100%">Cyber-Physical Systems</style></keyword><keyword><style  face="normal" font="default" size="100%">cyberphysical energy systems</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed reasoning</style></keyword><keyword><style  face="normal" font="default" size="100%">energy management systems</style></keyword><keyword><style  face="normal" font="default" size="100%">failure analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">failure diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">fault detection</style></keyword><keyword><style  face="normal" font="default" size="100%">fault diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">inference mechanisms</style></keyword><keyword><style  face="normal" font="default" size="100%">North America</style></keyword><keyword><style  face="normal" font="default" size="100%">Observers</style></keyword><keyword><style  face="normal" font="default" size="100%">physical elements</style></keyword><keyword><style  face="normal" font="default" size="100%">power engineering computing</style></keyword><keyword><style  face="normal" font="default" size="100%">power grid</style></keyword><keyword><style  face="normal" font="default" size="100%">power grids</style></keyword><keyword><style  face="normal" font="default" size="100%">Power system faults</style></keyword><keyword><style  face="normal" font="default" size="100%">Power system protection</style></keyword><keyword><style  face="normal" font="default" size="100%">protection elements</style></keyword><keyword><style  face="normal" font="default" size="100%">Protective relaying</style></keyword><keyword><style  face="normal" font="default" size="100%">relays</style></keyword><keyword><style  face="normal" font="default" size="100%">remote protection relays</style></keyword><keyword><style  face="normal" font="default" size="100%">secondary protection relays</style></keyword><keyword><style  face="normal" font="default" size="100%">system complexity</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin, Germany</style></pub-location><pages><style face="normal" font="default" size="100%">1-1</style></pages><isbn><style face="normal" font="default" size="100%">978-1-5090-1772-0</style></isbn><abstract><style face="normal" font="default" size="100%">The power grid incorporates a number of protection elements such as distance relays that detect faults and prevent the propagation of failure effects from influencing the rest of system. However, the decision of these protection elements is only influenced by local information in the form of bus voltage/current (V-I) samples. Due to lack of system wide perspective, erroneous settings, and latent failure modes, protection devices often mis-operate and cause cascading effects that ultimately lead to blackouts. Blackouts around the world have been triggered or worsened by circuit breakers tripping, including the blackout of 2003 in North America, where the secondary/ remote protection relays incorrectly opened the breaker. Tools that aid the operators in finding the root cause of the problem on-line are required. However, high system complexity and the interdependencies between the cyber and physical elements of the system and the mis-operation of protection devices make the failure diagnosis a challenging problem.</style></abstract><accession-num><style face="normal" font="default" size="100%">16036445</style></accession-num></record></records></xml>