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favorite1Conclusion In this paper we start to explore processing historical outage data to characterize initial outages and subsequent cascading propagation and determine the effects of weather on cascading.

favorite0This significant increase in the outage rate during storm weather has important implications for processing historical data and simulating cascading.

favorite3There are no time differences between initial outages more than one minute and less than one hour because of the data processing that defines the start of new cascades.

favorite3In this paper, we report on some bulk statistical processing of 14 years of transmission line outage data from a large North American utility to describe initial.

favorite11While historical data processing has many advantages, including no modeling assumptions and a very favorable grounding in reality, it should be noted that the grid evolves over 14 years, and that statistical analysis of historical cascades necessarily describes cascading risk averaged over the time period of observation..

favorite2Since OPA (in common with other cascading failure simulations) does not simulate repeated outages of the same line, the simulated results should be compared with the probability distribution of nonzero distances in the formed network between the observed successive generations of outages.

favorite12More generally, the objective of the validation of the models and simulations with real data is to determine which mechanisms need to be represented and in what detail in order to be able to do cascading failure risk analysis with confidence in the results.

favorite9This paper processes observed transmission line outage data to obtain the statistics of how cascades spread in a real power network.

favorite110Processing real outage data is fundamental for understanding cascading and for evaluating the validity of the many different models and simulations that have been proposed for cascading in power networks.

favorite2Obtaining Statistics of Cascading Line Outages Spreading in an Electric Transmission Network from Standard Utility Data arXiv:1507.04277v2 [physics.soc-ph] 29 Jan 2016.