Modeling power system buses using performance based earthquake engineering methods

Chalishazar, Vishvas; Huo, Chen; Fox, Ian; Hagan, Travis; Cotilla‐Sanchez, Eduardo; Zhang, Julia; Brekken, Ted K. A.; Bass, R.

doi:10.1109/pesgm.2017.8274307

Cited by 7 publications

(4 citation statements)

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“…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

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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.

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Section: Operation-based Methodsmentioning

confidence: 99%

Resilience in an Evolving Electrical Grid

et al. 2021

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“…(1) Unsupplied load [4,37,53,54,72,[75][76][77][78][79], which was also used in weighted [80][81][82], expected [21,83,84],…”

Section: Power Metricsmentioning

confidence: 99%

“…(7) Production and load mismatch (either production greater than load or vice versa) in the worst scenario [9,99,100]. (8) Generation capacity not connected [4,71,72,79]. (9) Generation capacity connected [4,72].…”

Section: Power Metricsmentioning

confidence: 99%

Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook

2020

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Recently, there has been a focus on natural and man-made disasters with a high-impact low-frequency (HILF) property in electric power systems. A power system must be built with “resilience” or the ability to withstand, adapt and recover from disasters. The resilience metrics (RMs) are tools to measure the resilience level of a power system, normally employed for resilience cost–benefit in planning and operation. While numerous RMs have been presented in the power system literature; there is still a lack of comprehensive framework regarding the different types of the RMs in the electric power system, and existing frameworks have essential shortcomings. In this paper, after an extensive overview of the literature, a conceptual framework is suggested to identify the key variables, factors and ideas of RMs in power systems and define their relationships. The proposed framework is compared with the existing ones, and existing power system RMs are also allocated to the framework’s groups to validate the inclusivity and usefulness of the proposed framework, as a tool for academic and industrial researchers to choose the most appropriate RM in different power system problems and pinpoint the potential need for the future metrics.

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“…The necessity of the first 3 steps and use of the Performance Based Earthquake Engineering (PBEE) method is discussed in the [6][7][8]. Although this study focuses on the Portland Hills Fault case study using the Western Electrical Coordinating Council (WECC) model as the power grid model, it also intends to propose the overall framework used for this case study as a larger framework to connect risk and resilience of any power system.…”

Section: Introductionmentioning

confidence: 99%

Connecting Risk and Resilience for a Power System Using the Portland Hills Fault Case Study

Chalishazar

Brekken

Johnson³

et al. 2020

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Active seismic faults in the Pacific Northwest area have encouraged electric utilities in the region to deeply contemplate and proactively intervene to support grid resilience. To further this effort this research introduces Monte Carlo (MC)-based power system modeling as a means to inform the Performance Based Earthquake Engineering method and simulates 100,000 sample earthquakes of a 6.8 magnitude (M6.8) Portland Hills Fault (PHF) scenario in the Portland General Electric (PGE) service territory as a proof of concept. This paper also proposes the resilience metric Seismic Load Recovery Factor (SLRF) to quantify the recovery of a downed power system and thus can be used to quantify earthquake economic risk. Using MC results, the SLRF was evaluated to be 19.7 h and the expected economic consequence cost of a M6.8 PHF event was found to be $180 million with an annualized risk of $90,000 given the event’s 1 in 2000 year probability of occurrence. The MC results also identified the eight most consequential substations in the PGE system—i.e., those that contributed to maximum load loss. This paper concludes that retrofitting these substations reduced the expected consequence cost of a M6.8 PHF event to $117 million.

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Modeling power system buses using performance based earthquake engineering methods

Cited by 7 publications

References 0 publications

Resilience in an Evolving Electrical Grid

Resilience in an Evolving Electrical Grid

Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook

Connecting Risk and Resilience for a Power System Using the Portland Hills Fault Case Study

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