Obtaining statistics of cascading line outages spreading in an electric transmission network from standard utility data
arXiv:1507.04277 · doi:10.1109/TPWRS.2016.2523884
Abstract
We show how to use standard transmission line outage historical data to obtain the network topology in such a way that cascades of line outages can be easily located on the network. Then we obtain statistics quantifying how cascading outages typically spread on the network. Processing 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.
Revised and expanded version with minor corrections and a new section illustrating use of data to validate a simulation. Will appear in IEEE Transactions on Power Systems
References in corpus (1)
Cited by in corpus (17)
- Small vulnerable sets determine large network cascades in power grids
- Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology
- A Markovian influence graph formed from utility line outage data to mitigate large cascades
- A Graph Theoretic Approach to Power System Vulnerability Identification
- Vulnerability and co-susceptibility determine the size of network cascades
- The most frequent N-k line outages occur in motifs that can improve contingency selection
- Non-Local Impact of Link Failures in Linear Flow Networks
- How long is a resilience event in a transmission system?: Metrics and models driven by utility data
- Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks
- A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization
- The statistical spread of transmission outages on a fast protection time scale based on utility data
- Mixed-integer linear programming approaches for tree partitioning of power networks
- Combinatorial approach to spreading processes on networks
- A Robust Optimization Approach for Terminating the Cascading Failure of Power Systems
- Exploring cascading outages and weather via processing historic data
- Identify Critical Branches with Cascading Failure Chain Statistics and Hypertext-Induced Topic Search Algorithm
- Quantifying the Influence of Component Failure Probability on Cascading Blackout Risk