A hierarchy-based approach to seismic vulnerability assessment of bulk power systems

References

• Adachi, T., & Ellingwood, B.R. (2009). Serviceability assessment of electrical power transmission systems under probabilistically stated seismic hazards: Case study for shelby county, tennessee. Structure and Infrastructure Engineering, 5, 343–353.
   Web of Science ®Google Scholar
• Agarwal, J., Blockley, D., & Woodman, N. (2003). Vulnerability of structural systems. Structural Safety, 25, 263–286.
   Web of Science ®Google Scholar
• Albert, R., Albert, I., & Nakarado, G.L. (2004). Structural vulnerability of the north american power grid. Physical Review E, 69, 025103.
   PubMed Web of Science ®Google Scholar
• Ambraseys, N., Simpson, K., & Bommer, J. (1996). Prediction of horizontal response spectra in europe. Earthquake Engineering and Structural Dynamics, 25, 371–400.
   Web of Science ®Google Scholar
• Arianos, S., Bompard, E., Carbone, A., & Xue, F. (2009). Power grid vulnerability: A complex network approach. Chaos: An Interdisciplinary Journal of Nonlinear Science, 19(1), 1–6.
   Web of Science ®Google Scholar
• Augusti, G., & Ciampoli, M. (1998). Multi-objective optimal allocation of resources to increase the seismic reliability of highways. Mathematical Methods of Operations Research, 47, 131–164.
   Web of Science ®Google Scholar
• Barabasi, A.L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509–512.
   PubMed Web of Science ®Google Scholar
• Berg, J., & Rietz, T. (2002). Accuracy and forecast standard error of prediction markets. Technical Report. Iowa City, IA: University of Iowa.
   Google Scholar
• Bommer, J., Douglas, J., & Strasser, F. (2003). Style-of-faulting in ground-motion prediction equations. Bulletin of Earthquake Engineering, 1, 171–203.
   Web of Science ®Google Scholar
• Bompard, E., Wu, D., & Xue, F. (2011). Structural vulnerability of power systems: A topological approach. Electric Power System Research, 81, 1334–1340.
   Web of Science ®Google Scholar
• Botero, D. (2010). 2RNet documentation. Risk & Reliability Research Group of Universidad de Los Andes. Retrieved from https://doi.org/http://risk-reliability.uniandes.edu.co/wiki/wiki2/doku.php?id=2rnet.
   Google Scholar
• Buritica, J., Tesfamariam, S., & Sánchez-Silva, M. (2012). Seismic vulnerability assessment of power transmission networks using complex-systems based methodologies. In 15th World Conference on Earthquake Engineering, Vol. 3418, Lisbon, Portugal, September 24–28, 2012.
   Google Scholar
• Carturan, F., Pellegrino, C., Modena, C., Rossi, R., & Gastaldi, M. (2010). Optimal resource allocation for seismic retrofitting of bridges in transportation networks. In 5th International Conference on Bridge Maintenance, Safety and Management, Philadelphia, PA, July 11–15. Boca Raton, FL: CRC Press.
   Google Scholar
• Casals, M. (2009). Topological complexity of the electricity transmission network. Implications in the sustainability paradigm  (PhD thesis, Universitat Politecnica de Catalunya).
   Google Scholar
• Chang, L., Peng, F., Ouyang, Y., Elnashai, A.S., & Spencer, B.F. (2012). Bridge seismic retrofit program planning to maximize postearthquake transportation network capacity. Journal of Infrastructure Systems, 18, 75–88.
   Web of Science ®Google Scholar
• Checkland, P. (1981). Systems thinking, systems practice. Chichester: Wiley.
   Google Scholar
• Chen, G., Dong, Z.Y., Hill, D.J., & Zhang, G.H. (2009). An improved model for structural vulnerability analysis of power networks. Physica A: Statistical Mechanics and its Applications, 388, 4259–4266.
   Web of Science ®Google Scholar
• Ciapessoni, E., Cirio, D., Massucco, S., Pitto, A., & Silvestro, F. (2009). A probabilistic risk assessment approach to support the operation of large electric power systems. In Power Systems Conference and Exposition. PSCE ‘09. IEEE/PES, Seattle, Washington, March 15–18, 2009 (pp. 1–8). Piscataway, NJ: Institute of Electrical and Electronic Engineers.
   Google Scholar
• Cornell, C.A. (1968). Engineering seismic risk analysis. Bulletin of Seismological Society of America, 58, 1583–1606.
   Web of Science ®Google Scholar
• Crucitti, P., Latora, V., & Marchiori, M. (2004). A topological analysis of the Italian electric power grid. Physica A, 338, 92–97.
   Web of Science ®Google Scholar
• Dueñas Osorio, L., Craig, J.I., & Goodno, B.J. (2007). Seismic response of critical interdependent networks. Earthquake Engineering & Structural Dynamics, 36, 285–306. ISSN 1096-9845.
   Web of Science ®Google Scholar
• Fan, Y., Liu, C., Lee, R., & Kiremidjian, A.S. (2010). Highway network retrofit under seismic hazard. Journal of Infrastructure Systems, 16, 181–187.
   Web of Science ®Google Scholar
• FEMA (2003). Multi–hazard loss estimation methodology: Earthquake model, hazus^MHmr4. Technical Report. Washington DC: Department of Homeland Security Emergency Preparedness and Response Directorate, Mitigation Division.
   Google Scholar
• Filippone, M., Camastra, F., Masulli, F., & Rovetta, S. (2008). A survey of kernel and spectral methods for clustering. Pattern Recognition., 41, 176–190.
   Web of Science ®Google Scholar
• Fouad, A., Zhou, Q., & Vittal, V. (1994). System vulnerability as a concept to assess power system dynamic security. IEEE Transactions on Power Systems, 9, 1009–1015.
   Web of Science ®Google Scholar
• Gardini, G., Fregonese, R., Gobbi, M.E., Bon, E., & Calisti, R. (2012). Probabilistic assessment of electric power grids vulnerability under seismic action: A case study. Structure and Infrastructure Engineering, 9(10), 1–20.
   Google Scholar
• Gärtner, T., & Vembu, S. (2010). Label ranking algorithms: A survey. In J. Fürnkranz & E. Hüllermeier (Eds.), Preference learning. New York, NY: Springer.
   Google Scholar
• Gomez, C., Buritica, J., Sánchez-Silva, M., & Dueñas Osorio, L. (2011). Vulnerability assessment of infrastructure networks by using hierarchical decomposition methods. In First International Conference on Vulnerability and Risk Analysis and Management (ICVRAM), Hyattsville, MD, April 11–13, 2011.
   Google Scholar
• Gomez, C., Sánchez-Silva, M., & Dueñas Osorio, L. (2011). Clustering methods for risk assessment of infrastructure network systems. In M. Faber, J. Kohler, & K. Nishijima (Eds.), Applications of statistics and probability in civil engineering (pp. 1389–1397). Boca Raton, FL: CRC Press.
   Google Scholar
• Gomez, C., Sánchez-Silva, M., Dueñas Osorio, L., & Rosowsky, D. (2010). Hierarchical infrastructure network representation methods for risk-based decision-making. Structure and Infrastructure Engineering. doi:10.1080/15732479.2010.546415.
   Web of Science ®Google Scholar
• Han, Y., & Davidson, R. (2012). Probabilistic seismic hazard analysis for spatially distributed infrastructure. Earthquake Engineering & Structural Dynamics, 41, 2141–2158.
   Web of Science ®Google Scholar
• Hines, P., Cotilla-Sanchez, E., & Blumsack, S. (2010). Do topological models provide good information about electricity infrastructure vulnerability? Chaos, 20, 033122.
   Web of Science ®Google Scholar
• Holmgren, A.J. (2006). Quantitative vulnerability analysis of electric power networks  (PhD thesis, Royal Institute of Technology).
   Google Scholar
• Hosseini, M., Raoufi, A., Khalvati, A.H., & Soroor, A. (2009). A seismic risk management model for electric power distribution networks in large cities by concentration on low-voltage substations. In TCLEE 2009: Lifeline Earthquake Engineering in a Multihazard Environment, Oakland, CA, June 28–July 1, 2009 (pp. 252–261). Reston, VA: American Society of Civil Engineers.
   Google Scholar
• Hwang, H., & Huo, J. (1998). Seismic fragiliy analysis of electric substation equipment and structures. Probabilistic Engineering Mechanics, 13, 107–116.
   Web of Science ®Google Scholar
• IEEE-693 (2005). 693-2005 IEEE recommended practice for seismic design of substations. Technical Report. IEEE Power & Energy Society.
   Google Scholar
• Jain, A.K., Murty, M.N., & Flynn, P.J. (1999). Data clustering: A review. ACM Computing Surveys, 31, 264–323.
   Web of Science ®Google Scholar
• Jayaram, N., & Baker, J. (2010). Efficient sampling and data reduction techniques for probabilistic seismic lifeline risk assessment. Earthquake Engineering and Structural Dynamics, 39, 1109–1131.
   Web of Science ®Google Scholar
• Jun, H., & Jie, L. (2004). Seismic reliability analysis of large electric power systems. Earthquake Engineering and Engineering Vibration, 3, 51–55.
   Google Scholar
• Kempner, L., & Knight, B.T. (2009). Seismic vulnerabilities and retrofit of high-voltage electrical substation facilities. Washngton, DC: American Society of Civil Engineers  doi:10.1061/41050(357)22.
   Google Scholar
• Koonce, A., Apostolakis, G., & Cook, B. (2008). Bulk power risk analysis: Ranking infrastructure elements according to their risk significance. Electrical Power and Energy Systems, 30, 169–183.
   Web of Science ®Google Scholar
• Kwasinski, A., Eidinger, J., Tang, A., & Tudo-Bornarel, C. (2014). Performance of electric power systems in the 2010-2011 christchurch, new zealand, earthquake sequence. Earthquake Spectra, 30, 205–230.
   Web of Science ®Google Scholar
• Latora, V., & Marchiori, M. (2005). Vulnerability and protection of infrastructure networks. Physical Review E, 71, 15103.
   PubMed Web of Science ®Google Scholar
• Lee, R., & Kiremidjian, A. (2007). Uncertainty and correlation for loss assessment of spatially distributed systems. Earthquake Spectra, 23, 753–770.
   Web of Science ®Google Scholar
• Li, W., Zhou, J., Xie, K., & Xiong, X. (2008). Power system risk assessment using a hybrid method of fuzzy set and Monte Carlo simulation. IEEE Transactions on Power Systems, 23, 336–343.
   Web of Science ®Google Scholar
• Liu, C., & Feng, F. (2006). Seismic security analysis and flow load control of power supply system. In Information Acquisition, 2006 IEEE International Conference on 1239–1243, Weihai, Shandong, August 20–23, 2006.
   Google Scholar
• Liu, Q., Liu, J., & Huang, Q. (2009). Configure vulnerability assessment based on potential energy model. In International Conference on Sustainable Power Generation and Supply (SUPERGEN) 1–7, Nanjing, China, April 6–7, 2009.
   Google Scholar
• Liu, Z., & Tesfamariam, S. (2012). Prediction of lateral spread displacement: Data-driven approaches. Bulletin of Earthquake Engineering, 10, 1431–1454.
   Web of Science ®Google Scholar
• Lu, J., Ji, Q., & Zhu, Y. (2008). Power grid vulnerability assement based on energy function. In Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008), Nanjing, China, April 6–9, 2008 (pp. 1039–1043). Piscataway, NJ: Institute of Electrical and Electronic Engineers.
   Google Scholar
• Ma, J., Huang, Z., Wong, P.C., Ferryman, T., & Northwest, P. (2010). Probabilistic vulnerability assessment based on power flow and voltage distribution. In Transmission and Distribution Conference and Exposition, 2010 IEEE PES 1–8, Chicago, IL, May 7–10, 2010.
   Google Scholar
• NERC (2002). Security guidelines for the electricity sector: Vulnerability and risk assessment, June 14. Technical Report. Washington, DC: North American Electric Reliability Corporation.
   Google Scholar
• NIAC (2010). A framework for establishing critical infrastructure resilience goals. Technical Report. Washington, DC: National Infrastructure Advisory Council.
   Google Scholar
• Nuti, C., Rasulo, A., & Vanzi, I. (2010). Seismic safety of network structures and infrastructures. Structure and Infrastructure Engineering, 6, 95–110.
   Web of Science ®Google Scholar
• Nuti, C., & Vanzi, I. (2004). Earthquake structural retrofitting of electric power networks under economic constraints. In Probabilistic Methods Applied to Power Systems, 2004 International Conference on, September 16 (pp. 987–992). Piscataway, NJ: Institute of Electrical and Electronic Engineers.
   Google Scholar
• Pinar, A., Meza, J., Donde, V., & Lesieutre, B. (2010). Optimization strategies for the vulnerability analysis of the electric power grid. SIAM Journal of Optimization, 20, 1786–1810.
   Web of Science ®Google Scholar
• Pitilakis, K. (2010). D3.3: Fragility functions for electric power system elements. Technical Report. SYNER-G: Thessaloniki.
   Google Scholar
• Rose, A., Benavides, J., Chang, S.E., Szczesniak, P., & Lim, D. (1997). The regional economic impact of an earthquake: Direct and indirect effects of electricity lifeline disruptions. Journal of Regional Science, 37, 437–458.
   Web of Science ®Google Scholar
• Sanchez-Silva, M., & Rackwitz, R. (2004). Socioeconomic implications of life quality index in design of optimum structures to withstand earthquakes. Journal of Structural Engineering, 130, 969–977.
   Web of Science ®Google Scholar
• Schiff, A.J. (2003). Electrical power systems. In Earthquake engineering handbook. Boca Raton, FL: CRC Press.
   Google Scholar
• Seed, H.B., & Idriss, I.M. (1971). Simplified procedure for evaluating soil liquefaction potential. Journal of Soil Mechanics and Foundations Division, 97, 1249–1273.
   Google Scholar
• Shinozuka, M., Dong, X., Jin, X., & Cheng, T. (2005). Seismic performance analysis for the ladwp power system. In IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific 1–6, Dalian, China, Aug. 15–17, 2005.
   Google Scholar
• Sneath, P.A., & Sokal, R. (1973). Numerical taxonomy: The principles and practice of numerical classification. San Francisco, CA: Freeman.
   Google Scholar
• Task-Force (2004). Final report on the august 14, 2003 blackout in the United States and Canada: Causes and recommendations. Technical Report. Washington, DC: U.S.–Canada Power System Outage Task Force.
   Google Scholar
• Vanzi, I. (1996). Seismic reliability of electric power networks: Methodology and application. Structural Safety, 311–327.
   Web of Science ®Google Scholar
• Vanzi, I. (2000). Structural upgrading strategy for electric power networks under seismic action. Earthquake Engineering & Structural Dynamics, 29, 1053–1073.
   Web of Science ®Google Scholar
• von Meier, A. (2006). Electric power systems: A conceptual introduction. Hoboken, NJ: Wiley.
   Google Scholar
• Wang, B., You, D., Yin, X., Chen, Q., Wang, K., Liu, H., & Hou, H. (2010). A method for assessing power system security risk. In Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific 1–5, Chengdu, China, March 28–31, 2010.
   Google Scholar
• Wang, K., Zhang, B., Zhang, Z., Yin, X., & Wang, B. (2011). An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load. Physica A, 390, 4692–4701.
   Web of Science ®Google Scholar
• Ward, J.H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236–244.
   Web of Science ®Google Scholar
• Watts, D.J., & Strogatz, S.H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442.
   PubMed Web of Science ®Google Scholar
• Wenyuan, L., & Choudhury, P. (2007). Probabilistic transmission planning. IEEE Press Series on Power Engineering, 5, 46–53.
   Google Scholar
• Xiao, F. (2009). Power system risk assessment and control in a multiobjective framework. IEEE Transactions on Power Systems, 24, 78–85.
   Web of Science ®Google Scholar
• Xingbin, Y., & Singh, C. (2004). A practical approach for integrated power system vulnerability analysis with protection failures. IEEE Transactions on Power Systems, 19, 1811–1820.
   Web of Science ®Google Scholar
• Zio, E., & Golea, L. (2012). Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements. Reliability Engineering & System Safety, 101, 67–74.
   Web of Science ®Google Scholar