Research tools that may (or may not) be useful.
The tools listed below are research-grade (i.e., not intended for commercial use) works-in-progress.
DCSIMSEP: A DC (SIM)ulators of (SEP)aration in power systems
DCSIMSEP is a relatively simple simulator of cascading failure in power systems. It is similar in design to the "open-loop" version of the OPA cascading failure simulator, though perhaps somewhat less optimistic, since it does not (by default) use any particular stress-mitigating control actions to mitigate overloads---the assumption being that the cascades are propagating too fast to allow operators to enact such actions.
- Pooya Rezaei, Paul Hines and Margaret Eppstein, Estimating Cascading Failure Risk with Random Chemistry, IEEE Transactions on Power Systems, vol. 30, no. 5, 2015. [arXiv preprint].
- Margaret J. Eppstein and Paul D. H. Hines. A "Random Chemistry" Algorithm for Identifying Collections of Multiple Contingencies that Initiate Cascading Failure. IEEE Transactions on Power Systems, vol. 27, no. 3, 2012. [preprint]
- P. Hines, E. Cotilla-Sanchez, S. Blumsack. Do topological models provide good information about vulnerability in electric power networks? Chaos: An interdisciplinary journal of non-linear science. vol. 20, no. 3, 2010. [arXiv preprint].
ACSIMSEP: An AC (SIM)ulators of (SEP)aration in power systems[Coming soon]
COSMIC: Cascading Outage Simulator with Multiprocess Integration Capabilities
COSMIC is a dynamic cascading outage simulator in power systems. Source for COSMIC is available on github. For details about COSMIC, see:
- Jiajia Song, Eduardo Cotilla-Sanchez, Goodarz Ghanavati, Paul D. H. Hines, Dynamic Modeling of Cascading Failure in Power Systems, IEEE Transactions on Power Systems, in press, 2015. [arXiv preprint].