Abstract
We consider the cascading failure process in interdependent power-communication networks, where the power grid provides the required energy for the communication nodes, and the communication network facilitates the monitoring and controlling the power networks. The proposed system model considers the flow dynamics in both networks and the failure rollover to study the cascade process in the system and capture the possible beneficial and adverse effects of interdependency between the networks. We suggest weak and strong interdependencies models that determine how and to what extent the loss of controllability after failures impacts the power network and a congestion-aware load balancing scheme that exploits the system state to decrease the density of severe cascades. The results of the cascading failure processes on data from two power networks are provided and discussed in terms of the average unserved load in the power network and the number of failed nodes in the communication layer in different scenarios. We find that increasing the coupling is beneficial in most cases; however, considering the robustness of each network and the nature of the interdependencies between the two networks, over-coupling can decrease the system's robustness against failure cascading in certain scenarios.
Original language | English |
---|---|
Pages (from-to) | 1919-1930 |
Number of pages | 12 |
Journal | IEEE Transactions on Network Science and Engineering |
Volume | 10 |
Issue number | 4 |
Early online date | 12 Jan 2023 |
DOIs | |
Publication status | Published - 1 Jul 2023 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Funding
The work of Abdorasoul Ghasemiwas supported by the Alexander von Humboldt Foundation for the Visiting Research with the University of Passau, Passau, Germany, under Grant Ref. 3.4 - IRN -1214645 - GF-E.
Funders | Funder number |
---|---|
Alexander von Humboldt-Stiftung | |
University of Passau | 3.4 - IRN -1214645 - GF-E |
Keywords
- Cascading failure
- coupling coefficient
- interdependent power-communication network
- robustness
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Computer Networks and Communications