An on-line intelligent alarm analyzer for power systems based on temporal constraint network

Towards Diagnosing Cascading Outages in Cyber Physical Energy Systems using Temporal Causal Models

“…The diagnosis approach can be broadly classified into three categories based on their underlying technique: expert system (Yongli, Yang, Hogg, Zhang, & Gao, 1994;Huang, 2002;Cardoso, Rolim, & Zurn, 2008;Jung, Liu, Hong, Gallanti, & Tornielli, 2001), artificial neural network (Cardoso, Rolim, & Zurn, 2004;Mahanty & Gupta, 2004;Thukaram, Khincha, & Vijaynarasimha, 2005;Bi et al, 2002) and analytical model optimization (Wu et al, 2005;Wen & Chang, 1997;He, Chiang, Li, & Zeng, 2009;Guo et al, 2010). In addition, approaches based on petri networks (Sun, Qin, & Song, 2004) and cause-effect bayesian networks (Chen, Liu, & Tsai, 2001;Chen, Tsai, & Lin, 2011;Guo et al, 2009;Chen, 2012;Yongli, Limin, & Jinling, 2006) have also been proposed.…”

“…Cause effect networks have also been used to diagnose faults in power systems (Chen et al, 2001(Chen et al, , 2011Guo et al, 2009;Chen, 2012;Yongli et al, 2006). A cause effect network consists of nodes and edges where nodes represent failures and relaying system actions.…”

“…However these techniques do not provide hypotheses related to the state of PRs and CBs. (Guo et al, 2009) presents on-line alarm analyzer for diagnosing failure modes in the physical plant as well as in a relaying system based on a temporal causal network. But (Guo et al, 2009) does not take into account the operating modes and conditions of the system that influence the failure propagation.…”