Multi-dimensional hurricane resilience assessment of electric power systems

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Statistical modeling of electric power outage counts and restoration times during hurricanes and ice storms [Ph.D. thesis]. Cornell University; 2006. Centerpoint Energy. Centerpoint energy Ike storm center. www.centerpointenergy.com/newsroom/stormcenter/ike. Miller, 2011, Hazards of neoliberalism: delayed electric power restoration after Hurricane Ike, Br J Sociol, 62, 504, 10.1111/j.1468-4446.2011.01376.x Ouyang, 2013, Comparisons of Purely topological model, betweenness based model and direct current power flow model to analyze power grid vulnerability, Chaos, 23, 023114, 10.1063/1.4807478 The hurricane research group at Rice University conducted a “Hurricane Ike survey” (led by Professor Robert M. Stein and research scientist Birnur Buzcu-Guven), with 1498 residents in Harris County in the aftermath of Hurricane Ike. The survey data, which includes demographic and other hurricane evacuation data is available from Prof. Stein (email: [email protected]), and show the number of customers who are subject to a combination of a level of power outage (extremely serious, very serious, somewhat serious, not serious, did not happen) and an extent of tree wind-throw (extremely serious, very serious, somewhat serious, not serious, did not happen) nearby their houses. The power outage levels are mainly judged according to their experienced outage length. Those customers who experienced serious power outages provide indirect evidence that the local distribution circuits nearby their houses were also damaged because according to restoration sequences, the local distribution circuits have the last repair priority, and only the customers who have their local circuits damaged could experience significantly long outages. Hence, computing the total cases of tree wind-throw (including somewhat serious, very serious, and extremely) (972 cases), and the total cases of extremely serious power outage in the case of tree wind-throw (506 cases) can provide an estimated probability of 0.52 of a customer losing power due to damage on local distribution circuits in case of tree wind-throw, which is just the parameter β. Sunder SS. NIST (National Institute of Standards and Technology) disaster resilience programs overview. In: ACEHR meeting, November 8, 2011. http://www.nehrp.gov/pdf/ACEHRNov2011_Sunder.pdf. ASCE (American Society of Civil Engineers). Guiding principles for the nation’s critical infrastructure, prepared by the ASCE Critical Infrastructure Guidance Task Committee; 2009. http://content.asce.org/files/pdf/GuidingPrinciplesFinalReport.pdf. Eto JH, LaCommare KH. 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