Network centrality based N-k contingency scenario generation

To investigate and evaluate the mechanics of how failures spread in power grids, this paper introduces a methodology for a credible list of critical N-k contingencies that would threaten the grids. The methodology is based on the concept of delta centrality. The list of critical contingencies will provide the look-ahead situation awareness for operators on any impending large power grid blackouts. We also propose novel indices which are simple to interpret and can be used to determine and identify locations of critical components caused by cascading failures. Build-ups of potentially high risk cascading failures can be monitored by these indices thus, providing wide area visibility of power system dynamics against threatening events. Results from 118 test bus system show a promising application for enhancing power system against rare and catastrophic outages.

[1]  Ian Dobson,et al.  Examining criticality of blackouts in power system models with cascading events , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[2]  Alex Bavelas A Mathematical Model for Group Structures , 1948 .

[3]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[4]  V. Latora,et al.  A measure of centrality based on network efficiency , 2004, cond-mat/0402050.

[5]  Benjamin A Carreras,et al.  Complex systems analysis of series of blackouts: cascading failure, critical points, and self-organization. , 2007, Chaos.

[6]  V. Latora,et al.  Efficiency of scale-free networks: error and attack tolerance , 2002, cond-mat/0205601.

[7]  Massimo Marchiori,et al.  Model for cascading failures in complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Surachet Tamronglak,et al.  Analysis of power system disturbances due to relay hidden failures , 1994 .

[9]  Ian Dobson,et al.  A branching process approximation to cascading load-dependent system failure , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.