Discovering the structure of cascade propagation in power grids

Ghanbari, R, Jalili, M and Yu, X 2018, 'Discovering the structure of cascade propagation in power grids', in Proceedings of the 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES 2018), Hamilton, New Zealand, 31 January - 2 February 2018, pp. 272-276.


Document type: Conference Paper
Collection: Conference Papers

Title Discovering the structure of cascade propagation in power grids
Author(s) Ghanbari, R
Jalili, M
Yu, X
Year 2018
Conference name IESES 2018
Conference location Hamilton, New Zealand
Conference dates 31 January - 2 February 2018
Proceedings title Proceedings of the 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES 2018)
Publisher IEEE
Place of publication United States
Start page 272
End page 276
Total pages 5
Abstract Power systems are often prone to cascade failures, i.e. rapid propagation of failures that start from a set of nodes. Discovery of the pathway that cascade goes through in power systems will give the network planners a realistic insight to predict the extension route of cascade and deter it from expansion before it leads to a catastrophic blackout. In this manuscript we study the mechanism of cascade failures' propagation in power systems. A complex network model is applied to represent power systems where bus bars (generator, loads and transformers) can be considered as nodes and the transmission lines as links connecting these nodes. As benchmark networks we consider IEEE 57 and 118 bus test networks. A maximum flow based model is used to find the central edges. We study the way a cascade is propagated in a power system. We find that at initial steps, the cascade gets propagated locally, but as the cascade proceeds through the network, its pattern changes to a global expansion.
Subjects Dynamical Systems in Applications
Power and Energy Systems Engineering (excl. Renewable Power)
Keyword(s) Power grids
cascaded failure
complex networks
maximum flow
cascade propagation
DOI - identifier 10.1109/IESES.2018.8349887
Copyright notice © 2018 IEEE
ISBN 9781509049752
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