Augmenting the Traditional Bus-Branch Model for Seismic Resilience Analysis

Chalishazar, Vishvas; Johnson, Brandon; Cotilla‐Sanchez, Eduardo; Brekken, Ted K. A.

doi:10.1109/ecce.2018.8557820

Cited by 11 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The estimated wind loading of towers is an integer value chosen with the range of possible wind values that result in a failure rate between 0.00127 and 0.00102. Computing the wind loading with the knowledge of the failure rate is performed using (4).…”

Section: Resultsmentioning

confidence: 99%

“…The studies evaluating power system consequences (such as the loss of load, energy not served, etc.) for different HILP events: 1) Augment power system models (or use more detailed node-breaker version of the models), so that asset fragilities can be translated to power system contingencies [4], and 2) Utilize asset fragility curves that are either developed by modeling structural integrity of assets using tools like Structural Analysis Program (SAP2000) [3], or developed using real world data based academic models such as log-normal functions [5]. However, the availability of real world data for infrastructure damage and fragility is often very limited for such HILP extreme events.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Methodology to Calibrate Fragility Curves Using Limited Real-World Data

Reis¹,

Royer²,

Chalishazar³

et al. 2022

Preprint

View full text Add to dashboard Cite

<div>With increasing human dependence on electricity and increasing energy demand, electrical infrastructure has emerged to be one of the most critical services. On the other hand, climate-change driven extreme events progressively increase in frequency and intensity. This is one of the main reasons for making the power grid more resilient to extreme events during which uninterrupted power supply is crucial in keeping the consequences of the extreme event limited. The first step towards making the power grid more resilient is to evaluate the probabilities of failure for all assets at risk from the extreme events. </div><div>Thus, this paper presents the a methodology to calibrate fragility curves. The strength of the proposed approach is its ability to calibrate the fragility curves utilizing limited data, which is the most common constraint in carrying out such analyses. This paper describes the calibration of transmission tower fragility curves for Puerto Rico utilizing only damage reports for hurricane Maria. That, combined with Puerto Rico's wind modeling & geographic information system, this study also calibrates fragility curves for transmission towers made with four different construction materials.</div>

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Methodology to Calibrate Fragility Curves Using Limited Real-World Data

Reis¹,

Royer²,

Chalishazar³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Modeling the peak amount of load lost is challenging as that at minimum requires the modeling of protection equipment or relaying at some level-either by using a nodebreaker version of the system case-file or by augmenting the traditional bus-branch version of case-file to model protection equipment [55,56]-and potentially the dynamic behavior of both load and generation [57,58]. These challenges also arise in cascading failure modeling and are described in relevant literature [57,[59][60][61][62][63][64][65].…”

Section: Operation-based Methodsmentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

Fundamental shifts in the structure and generation profile of electrical grids are occurring amidst increased demand for resilience. These two simultaneous trends create the need for new planning and operational practices for modern grids that account for the compounding uncertainties inherent in both resilience assessment and increasing contribution of variable inverter-based renewable energy sources. This work reviews the research work addressing the changing generation profile, state-of-the-art practices to address resilience, and research works at the intersection of these two topics in regards to electrical grids. The contribution of this work is to highlight the ongoing research in power system resilience and integration of variable inverter-based renewable energy sources in electrical grids, and to identify areas of current and further study at this intersection. Areas of research identified at this intersection include cyber-physical analysis of solar, wind, and distributed energy resources, microgrids, network evolution and observability, substation automation and self-healing, and probabilistic planning and operation methods.

show abstract

“…• Vulnerability index (VI), degradation index (DI), restoration efficiency index (REI) and microgrid resilience index (MRI) [15] , and • Maximum number of customers out of service [16] All of these metrics do a relatively good job at describing power systems resilience to an external disturbance, however, they are not very useful in describing the contribution of any particular power generation asset (for example the Grand Coulee hydropower plant) or family of generation assets (for example hydropower as a whole) towards achieving that level of resilience. To address this problem for the power transmission system, prior work has used augmentation of traditional bus-branch model into node-breaker model so that the fragility and vulnerability of each substation asset (such as the transformers and circuit breakers) can be included in the evaluation of resilience levels [17]. Each family of assets contributes in its own way towards resilience and it is important to understand how to utilize these assets to their fullest potential.…”

Section: A System Levelmentioning

confidence: 99%

A Metric Framework for Evaluating the Resilience Contribution of Hydropower to the Grid

Phillips

Chalishazar

McJunkin

et al. 2020

2020 Resilience Week (RWS)

Self Cite

View full text Add to dashboard Cite

This paper will describe a proposed framework for expressing the resilience of hydropower generation and provide initial case studies for three classes of hydropower, run-of-river hydropower, hydropower with reservoirs, and pumped storage hydropower. Hydropower has great flexibility to provide support during and after natural and man-made events that can disrupt critical infrastructure functionality. The concept of the framework provides for consideration of policy and rules, constraints of the water shed and other allocations of water, storage and plant capabilities to produce real and reactive power, and the strength of the delivery network. The paper details a resilience response metric that has inputs of state of storage and plant level constraints on real and reactive power production. Using the definition of resilience, based on maintaining a minimally normal operations, we provide a qualitative assessment of hydropower's ability to address the various time scales comprising the "R"s of resilience.

show abstract

Augmenting the Traditional Bus-Branch Model for Seismic Resilience Analysis

Cited by 11 publications

References 9 publications

Methodology to Calibrate Fragility Curves Using Limited Real-World Data

Methodology to Calibrate Fragility Curves Using Limited Real-World Data

Resilience in an Evolving Electrical Grid

A Metric Framework for Evaluating the Resilience Contribution of Hydropower to the Grid

Contact Info

Product

Resources

About