Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis

As infrastructure systems are highly interconnected, it is crucial to analyze their resilience with the consideration of their interdependencies. This paper adapts an existing resilience assessment framework for single systems to interdependent systems and mainly focuses on modeling and resilience contribution analysis of multi-systems’ joint restoration processes, which are seldom addressed in the literature. Taking interdependent power and gas systems in Houston, Texas, USA under hurricane hazards as an illustrative exmaple, five types of joint restoration stategies are proposed, including random restoration strategy RS1, independent restoration strategy RS2, power first and gas second restoration strategy RS3, gas aimed restoration strategy RS4, and power and gas compromised restoration strategy RS5. Results show that under limited restoration resources, RS1 produces the least resilience for both systems, RS2 and RS3 both generates the largest power system resilience while RS4 is the best for the gas system; and if quantifying the total resilience as the evenly weighted sum of two systems’ individual resilience, RS5 produces the largest total resilience. The proposed method can help decision makers search optimum joint restoration strategy, which can significantly enhance both systems’ resilience.

[1]  Min Ouyang,et al.  An approach to design interface topologies across interdependent urban infrastructure systems , 2011, Reliab. Eng. Syst. Saf..

[2]  Kash Barker,et al.  Resilience-based network component importance measures , 2013, Reliab. Eng. Syst. Saf..

[3]  Robert L. Sanks,et al.  Pumping station design , 1989 .

[4]  Min Ouyang,et al.  A three-stage resilience analysis framework for urban infrastructure systems , 2012 .

[5]  Drake E. Warren,et al.  A Framework for Assessing the Resilience of Infrastructure and Economic Systems , 2010 .

[6]  K. C. Kapur,et al.  Methodology for Assessing the Resilience of Networked Infrastructure , 2009, IEEE Systems Journal.

[7]  Colin Bayliss,et al.  Transmission and distribution electrical engineering , 1996 .

[8]  Michel Bruneau,et al.  Framework for analytical quantification of disaster resilience , 2010 .

[9]  Benjamin A Carreras,et al.  Complex systems analysis of series of blackouts: cascading failure, critical points, and self-organization. , 2007, Chaos.

[10]  Christopher W. Zobel,et al.  Representing perceived tradeoffs in defining disaster resilience , 2011, Decis. Support Syst..

[11]  Devanandham Henry,et al.  Generic metrics and quantitative approaches for system resilience as a function of time , 2012, Reliab. Eng. Syst. Saf..

[12]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .

[13]  Michel Bruneau,et al.  A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities , 2003 .

[14]  David R. Godschalk,et al.  Urban Hazard Mitigation: Creating Resilient Cities , 2003 .

[15]  Thomas J. Campanella,et al.  Planning for Postdisaster Resiliency , 2006 .

[16]  M. Ouyang Comparisons of purely topological model, betweenness based model and direct current power flow model to analyze power grid vulnerability. , 2013, Chaos.

[17]  James H. Lambert,et al.  Inoperability Input-Output Model for Interdependent Infrastructure Sectors. I: Theory and Methodology , 2005 .

[18]  Russell Bent,et al.  Last-Mile Restoration for Multiple Interdependent Infrastructures , 2012, AAAI.

[19]  W. Wallace Managing Disruptions to Critical Interdependent Infrastructures in the Context of the 2001 World Trade Center Attack , 2002 .

[20]  Stephanie E. Chang,et al.  Measuring Improvements in the Disaster Resilience of Communities , 2004 .

[21]  Min Ouyang,et al.  Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[22]  Min Ouyang,et al.  Multi-dimensional hurricane resilience assessment of electric power systems , 2014 .

[23]  Min Ouyang,et al.  Comparisons of complex network based models and direct current power flow model to analyze power grid vulnerability under intentional attacks , 2014 .

[24]  Michel Bruneau,et al.  Exploring the Concept of Seismic Resilience for Acute Care Facilities , 2007 .

[25]  Lubos Buzna,et al.  Robustness of trans-European gas networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  E. J. Kaiser,et al.  Unleashing the Power of Planning to Create Disaster-Resistant Communities , 1999 .

[27]  Yacov Y. Haimes,et al.  Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model , 2006, Syst. Eng..

[28]  Tadanobu Sato,et al.  OPTIMIZATION OF POST-EARTHQUAKE RESTORATION OF LIFELINE NETWORKS USING GENETIC ALGORITHMS , 1996 .

[29]  Seth D. Guikema,et al.  Optimizing scheduling of post‐earthquake electric power restoration tasks , 2007 .

[30]  Min Ouyang,et al.  Time-dependent resilience assessment and improvement of urban infrastructure systems. , 2012, Chaos.

[31]  John E. Mitchell,et al.  Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[32]  Royce A. Francis,et al.  A metric and frameworks for resilience analysis of engineered and infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[33]  F. Monforti,et al.  A MonteCarlo approach for assessing the adequacy of the European gas transmission system under supply crisis conditions , 2010 .