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A complex network theory analytical approach to power system cascading failure-From a cyber-physical perspective
Hengdao Guo1, Samson S Yu1, Herbert H C Iu1
1School of Electrical, Electronic and Computer Engineering, University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia.
Chaos (Woodbury, N.Y.)
|June 4, 2019
Summary
This study introduces a new model for cascading failures in cyber-physical power systems. Analyzing the interdependence between power and communication networks is crucial for grid stability and security.
Area of Science:
- Electrical Engineering
- Computer Science
- Network Science
Background:
- Modern electric grids feature distributed control and bidirectional energy/information flow.
- Traditional cascading failure analyses neglect the cyber-physical interdependencies in integrated power and communication networks.
Purpose of the Study:
- To develop a novel stochastic cascading failure model for cyber-physical power systems.
- To investigate the impact of interdependencies between cyber and power networks on system failures.
- To analyze the influence of cyber network topology on cascading failures.
Main Methods:
- A stochastic cascading failure model incorporating cyber-power network interdependencies.
- Integration of a multiagent system and a novel protection relay model.
- Application of the model to the IEEE 68-bs power system for simulation.
Main Results:
- Simulation results highlight the necessity of considering cyber communication networks in power system failure analysis.
- The study quantifies the effects of varying interdependencies and cyber network structures on cascading failures.
- Identified impacts of cyber topology and interdependencies on grid robustness and vulnerability.
Conclusions:
- Cyber-physical interdependencies significantly influence cascading failures in modern power grids.
- The proposed model provides insights into the robustness and vulnerability of power systems under cyber threats.
- Understanding these interdependencies is essential for enhancing the resilience of future electric power systems.
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