Performance assessment of topologically diverse power systems subjected to hurricane events

Winkler, James D.; Dueñas‐Osorio, Leonardo; Stein, Robert A.; Subramanian, Devika

doi:10.1016/j.ress.2009.11.002

Cited by 225 publications

(115 citation statements)

References 50 publications

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“…We also observed that network managers and operators do not completely comprehend the systemic complexity of their networks, as inferred by the lack of data and models within their organisations. The application of graph theory for analysing complex network organization is one of the approaches that could be used for estimating such complexity (Gleyze, 2005;Jenelius et al, 2006;Sohn, 2006;Winkler et al, 2010). We suggest conducting the evaluation by taking a long-term view within the organisations and companies responsible for managing networks in order to conserve the intrinsic systemic nature of the potential risks.…”

Section: Discussionmentioning

confidence: 99%

A systemic method for evaluating the potential impacts of floods on network infrastructures

Eleutério

Hattemer

Rozan

2013

Nat. Hazards Earth Syst. Sci.

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Understanding network infrastructures and their operation under exceptional circumstances is fundamental for dealing with flood risks and improving the resilience of a territory. This work presents a method for evaluating potential network infrastructure dysfunctions and damage in cases of flooding. In contrast to existing approaches, this method analyses network infrastructures on an elementary scale, by considering networks as a group of elements with specific functions and individual vulnerabilities. Our analysis places assets at the centre of the evaluation process, resulting in the construction of damage-dysfunction matrices based on expert interviews. These matrices permit summarising the different vulnerabilities of network infrastructures, describing how the different components are linked to each other and how they can disrupt the operation of the network. They also identify the actions and resources needed to restore the system to operational status following damage and dysfunctions, an essential point when dealing with the question of resilience. The method promotes multi-network analyses and is illustrated by a French case study. Sixty network experts were interviewed during the analysis of the following networks: drinking water supply, waste water, public lighting, gas distribution and electricity supply

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Section: Discussionmentioning

confidence: 99%

A systemic method for evaluating the potential impacts of floods on network infrastructures

Eleutério

Hattemer

Rozan

2013

Nat. Hazards Earth Syst. Sci.

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“…Spearman's correlation is a nonparametric test for determining the strength of the relationship between variables and is more resilient to outliers than Pearson correlation (Wilks 2011); Spearman's correlation is the Pearson correlation computed using the ranks of the data. The two assumptions required for Spearman's correlation are (1) variables are measured on ordinal, interval or ratio scale and (2) a monotonic relationship exists between the variables.…”

Section: Definition Of Accuracy Metricsmentioning

confidence: 99%

Storm outage modeling for an electric distribution network in Northeastern USA

et al. 2015

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The interaction of severe weather, overhead lines and surrounding trees is the leading cause of outages to electric distribution networks in forested areas. In this paper, we show how utility-specific infrastructure and land cover data, aggregated around overhead lines, can improve outage predictions for Eversource Energy (formerly Connecticut Light and Power), the largest electric utility in Connecticut. Eighty-nine storms from different seasons (cold weather, warm weather, transition months) in the period 2005-2014, representing varying types (thunderstorms, blizzards, nor'easters, hurricanes) and outage severity, were simulated using the Weather Research and Forecasting (WRF) atmospheric model. WRF simulations were joined with utility outage data to calibrate four types of models: a decision tree (DT), random forest (RF), boosted gradient tree (BT) and an ensemble (ENS) decision tree regression that combined predictions from DT, RF and BT. The study shows that the ENS model forced with weather, infrastructure and land cover data was superior to the other models we evaluated, especially in terms of predicting the spatial distribution of outages. This framework could be used for predicting outages to other types of critical infrastructure networks with benefits for emergency-preparedness functions in terms of equipment staging and resource allocation.

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“…We assume that a simulation (e.g., [29], [30]) has identified a finite set of natural-disaster damage scenarios, along with their probabilities of occurrence.…”

Section: Appendix Spare Hvts For Attacks and Natural Disastersmentioning

confidence: 99%

The Value of Recovery Transformers in Protecting an Electric Transmission Grid Against Attack

Salmerón

Wood

2015

IEEE Trans. Power Syst.

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Abstract-This paper incorporates, as part of an attacker-defender (AD) model for an electric power transmission grid, an inventory of "recovery spares" for high-voltage transformers (HVTs). In this sequential-game model, an attacker first uses limited resources to disable grid components, seeking to maximize second-stage "total cost." This value corresponds to a defender who operates the damaged grid to minimize generating and economic load-shedding costs. The defender's problem includes 1) optimal power-flow solutions to represent post-attack operations, 2) optimized replacement of disabled HVTs with quickly installable recovery spares, and 3) longer-term replacements using new procurements. Global Benders decomposition, with a mixed-integer subproblem, solves the AD model; new enumerative techniques help solve the decomposition's master problem and subproblems. Computational tests demonstrate tradeoffs between the number of recovery spares and worst-case total cost, and show how the model could help guide an inventory strategy for recovery spares in an adversarial setting.

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Performance assessment of topologically diverse power systems subjected to hurricane events

Cited by 225 publications

References 50 publications

A systemic method for evaluating the potential impacts of floods on network infrastructures

A systemic method for evaluating the potential impacts of floods on network infrastructures

Storm outage modeling for an electric distribution network in Northeastern USA

The Value of Recovery Transformers in Protecting an Electric Transmission Grid Against Attack

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