Reliability and controllability of infrastructure networks : do they match?

Reliability-based design principles for infrastructure systems continue advancing in engineering practice, but it is unclear whether and how these principles support emerging topological controllability (TC) requirements in the context of smart systems. This paper takes an initial step to evaluate the correlation between connectivity reliability (CR) and topological controllability (TC). Taking six city-level power transmission networks and thousands of artificial networks—generated from the original power transmission networks—this paper reveals that a dense and homogeneous network topology is better to satisfy CR and TC requirements, than more common sparse and heterogeneous networks when node attributes are not considered explicitly. Also, high degree nodes are found to rank high in terms of both CR and TC. However, when node attributes are accounted for, the reliability-based node importance measure for generators may underestimate some important nodes in terms of TC, and vice versa—an issue not observed for substation nodes. Hence, the findings in this paper suggest a potential new direction to enhance reliability-based design by integrating it with controllability based measures that will be relevant as infrastructure networks evolve into more intensive information-based systems.

[1]  P. Kazeminejad Optimal Design of Water Distribution Networks considering Reliability Based on Variance of Discharge Distribution , 2013 .

[2]  Liu Wei,et al.  An improved recursive decomposition algorithm for reliability evaluation of lifeline networks , 2022 .

[3]  J. O. Gobien,et al.  A new analysis technique for probabilistic graphs , 1979 .

[4]  Jun He,et al.  A recursive decomposition algorithm for network seismic reliability evaluation , 2002 .

[5]  Wei-Chang Yeh An improved sum-of-disjoint-products technique for the symbolic network reliability analysis with known minimal paths , 2007, Reliab. Eng. Syst. Saf..

[6]  Jianye Ching,et al.  An Efficient Method for Evaluating Origin‐Destination Connectivity Reliability of Real‐World Lifeline Networks , 2007, Comput. Aided Civ. Infrastructure Eng..

[7]  Wei-Chang Yeh,et al.  A Particle Swarm Optimization Approach Based on Monte Carlo Simulation for Solving the Complex Network Reliability Problem , 2010, IEEE Transactions on Reliability.

[8]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[9]  Youngsuk Kim,et al.  Network reliability analysis of complex systems using a non-simulation-based method , 2013, Reliab. Eng. Syst. Saf..

[10]  Leonardo Dueñas-Osorio,et al.  Reliability Assessment of Lifeline Systems with Radial Topology , 2011, Comput. Aided Civ. Infrastructure Eng..

[11]  Junho Song,et al.  Bounds on System Reliability by Linear Programming , 2003 .

[12]  Paolo Gardoni,et al.  Matrix-based system reliability method and applications to bridge networks , 2008, Reliab. Eng. Syst. Saf..

[13]  C. Y. Lee Representation of switching circuits by binary-decision programs , 1959 .

[14]  Junho Song,et al.  Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive decomposition algorithm , 2012 .

[15]  Dan M. Frangopol,et al.  Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost* , 2007 .

[16]  Bruce R. Ellingwood,et al.  Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability , 2008, Reliability Engineering & System Safety.

[17]  Masanobu Shinozuka,et al.  Seismic performance of electric transmission network under component failures , 2007 .

[18]  Junho Song,et al.  System reliability and sensitivity under statistical dependence by matrix-based system reliability method , 2009 .

[19]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[20]  A. Lombardi,et al.  Controllability analysis of networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Guy Theraulaz,et al.  Topological patterns in street networks of self-organized urban settlements , 2006 .

[22]  Wei Liu,et al.  An improved cut-based recursive decomposition algorithm for reliability analysis of networks , 2012, Earthquake Engineering and Engineering Vibration.

[23]  Albert-László Barabási,et al.  Controllability of complex networks , 2011, Nature.

[24]  Endre Csóka,et al.  Emergence of bimodality in controlling complex networks , 2013, Nature Communications.