Abstract
Restoration of modern interdependent Information and Communication Technology (ICT) and power networks relies on preplanned and reactive strategies to consider simultaneous communication and power system recovery. This paper addresses the problem of finding and energizing a proper communication network connecting the distributed power grid assets in the restoration process, assuming a probability of infeasibility of recovering each communication node. The proper network has the minimum size, meets the communication requirements of power system recovery, and guarantees robustness against ICT nodes not being recoverable during restoration. The problem is formulated as a multi-objective optimization problem and solved using the genetic algorithm to find the optimal subgraph that ensures enough node-disjoint paths between the communicating power grid assets. Simulation results for the restoration strategy of the communication network associated with a power network are provided and discussed. The results show that networks’ ability to mitigate the adverse consequences of node failures can be significantly improved by incorporating just a few additional nodes and links while keeping the ICT network compact and feasible for restoration.
| Original language | English |
|---|---|
| Pages (from-to) | 5250-5259 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Network and Service Management |
| Volume | 21 |
| Issue number | 5 |
| Early online date | 16 Jul 2024 |
| DOIs | |
| Publication status | Published - 16 Oct 2024 |
Bibliographical note
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Funder
This work was funded by the DFG (German Research Foundation), project number 360475113, as part of the priority program DFG SPP 1984 - Hybrid and Multimodal Energy Systems: System theory methods for the transformation and operation of complex networks. A. Ghasemi acknowledges funding from the Alexander von Humboldt Foundation.Funding
This work was funded by the DFG (German Research Foundation), project number 360475113, as part of the priority program DFG SPP 1984 - Hybrid and Multimodal Energy Systems: System theory methods for the transformation and operation of complex networks. A. Ghasemi acknowledges funding from the Alexander von Humboldt Foundation.
| Funders | Funder number |
|---|---|
| Deutsche Forschungsgemeinschaft | 360475113, DFG SPP 1984 |
| Alexander von Humboldt-Stiftung |
Keywords
- Cyber-physical energy system
- robustness
- power system restoration
- communication network restoration
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering