Improving distribution network resilience through automation, distributed energy resources, and undergrounding

Marcos, Fernando Postigo; Domingo, Carlos Mateo; Román, Tomás Gómez San

doi:10.1016/j.ijepes.2022.108116

Cited by 12 publications

(2 citation statements)

References 38 publications

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“…We seek to better identify the synergy needed to improve the resilience of power and water systems, as opposed to a disconnected or detached view. Improvement of power grid resilience includes integration of distributed energy resources (DER) [ 48 ], microgrids [ 49 ], and line hardening [ [50] , [51] , [52] ]. For the water system, isolation as a mitigation measure was implemented [ 53 ].…”

Section: Methodsmentioning

confidence: 99%

Interdependent water and power infrastructure model (IWPIM): A modeling approach for water and energy resource management in rural communities

Toba,

Boire,

Roni

2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Interdependent water and power infrastructure model (IWPIM): A modeling approach for water and energy resource management in rural communities

Toba,

Boire,

Roni

2024

Heliyon

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“…As an example, a mid-term approach was carried out by Souto et al in [34] for flooding, whereas [52,53] et al proposed a long-term power systems hardening strategy for earthquakes. The authors in [30] explored the feasibility of a software-based algorithm using grid automation and DERs to weather extreme events.…”

Section: A Planning Assessmentsmentioning

confidence: 99%

A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Serrano-Fontova,

Li,

Liao

et al. 2023

IEEE Access

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Over the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on power systems. Some resilience studies have taken advantage of the so-called fragility curves (FCs) to evaluate the vulnerability of the system components against these natural hazards. Conceptually, FCs provide the failure probability of a particular grid asset according to the intensity of an extreme event, which can be determined based on the hazard intensity inherently dictated by the nature of the event. The probability of failure can be obtained following diverse methodologies and criteria. Thus, the resilience assessment of the event may vary significantly depending on how the probability of failure was determined. This paper provides, for the first time, a comprehensive review of the FCs used to model the vulnerability of the power system components, classifying them according to the physical magnitude and the system element subject to each type of event. Furthermore, a comparison of results obtained applying different FCs is developed to show the relevance of their modelling. The content of this paper can be used as a hands-on guide for researchers and power systems engineers to perform resilience studies.

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Towards a Carbon–Neutral City: Responsible Underground Space Use in China

Guo,

Wei,

Chen

et al. 2024

Lecture Notes in Civil Engineering

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Improving distribution network resilience through automation, distributed energy resources, and undergrounding

Cited by 12 publications

References 38 publications

Interdependent water and power infrastructure model (IWPIM): A modeling approach for water and energy resource management in rural communities

Interdependent water and power infrastructure model (IWPIM): A modeling approach for water and energy resource management in rural communities

A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Towards a Carbon–Neutral City: Responsible Underground Space Use in China

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