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Cascading failures in networks of heterogeneous node behavior.
1School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Physical Review. E
|March 15, 2020
Summary
Network node variability significantly impacts cascading failures. Heterogeneous node types in complex networks, like power microgrids, can increase failure susceptibility, even with resilient topologies.
Area of Science:
- Complex network theory
- Power systems engineering
- Resilience analysis
Background:
- Cascading failures in complex networks can compromise operational integrity.
- Node dynamical function variability is a key factor in network resilience.
- Renewable electrical power microgrids face unique challenges due to intermittent generators and consumers.
Purpose of the Study:
- To examine the resilience of synthetic and real-world complex networks to cascading failures.
- To investigate the influence of network topology, edge current capacity, and node type composition on resilience.
- To identify strategies for enhancing network resilience through node manipulation.
Main Methods:
- Analysis of synthetic network ensembles with varying topologies and node compositions.
- Examination of exemplar real-world networks.
- Systematic variation of edge current carrying capacity and node type mix.
Main Results:
- Network topology alone does not guarantee resilience; node heterogeneity can induce significant failure susceptibility.
- For networks with balanced source, sink, and passive nodes, increased disorder correlates with decreased mean resilience.
- Even disordered networks exhibit enhanced resilience under specific node composition and functionality configurations.
Conclusions:
- Node type composition is a critical determinant of network resilience, often outweighing topological factors.
- Strategic manipulation of node functionality offers a pathway to improve resilience across diverse network topologies.
- Understanding node variability is essential for designing robust power microgrids and other complex systems.
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