2009/06/05 by Martí Rosas-Casals, Ricard Solé, Ricard V. Solé +2
Engineering · Physics and Astronomy · #Power System Optimization and Stability #Power System Reliability and Maintenance #Power Systems and Technologies #physics.data-an
paper · pdf · doi:10.48550/arxiv.0906.1109
4 pages 1 figure
arxiv created 2009/06/05 · arxiv updated 2009/12/01
Power grids are prone to failure. Time series of reliability measures such as total power loss or energy not supplied can give significant account of the underlying dynamical behavior of these systems, specially when the resulting probability distributions present remarkable features such as an algebraic tail, for example. In this paper, seven years (from 2002 to 2008) of Europe's transport of electricity network failure events have been analyzed and the best fit for this empirical data probability distribution is presented. With the actual span of available data and although there exists a moderate support for the power law model, the relatively small amount of events contained in the function's tail suggests that other causal factors might be significantly ruling the system's dynamics.