A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids

A structured collection of tools for engineering resilience and a research approach to improve the resilience of a power grid are described in this paper. The collection is organized by a two-dimensional array formed from typologies of power grid components and business processes. These two dimensio...

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Main Authors: Dmitry Borisoglebsky, Liz Varga
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/1065419
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author Dmitry Borisoglebsky
Liz Varga
author_facet Dmitry Borisoglebsky
Liz Varga
author_sort Dmitry Borisoglebsky
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description A structured collection of tools for engineering resilience and a research approach to improve the resilience of a power grid are described in this paper. The collection is organized by a two-dimensional array formed from typologies of power grid components and business processes. These two dimensions provide physical and operational outlooks, respectively, for a power grid. The approach for resilience research is based on building a simulation model of a power grid which utilizes a resilience assessment equation to assess baseline resilience to a hazards’ profile, then iteratively selects a subset of tools from the collection, and introduces these as interventions in the power grid simulation model. Calculating the difference in resilience associated with each subset supports multicriteria decision-making to find the most convenient subset of interventions for a power grid and hazards’ profile. Resilience is an emergent quality of a power grid system, and therefore resilience research and interventions must be system-driven. This paper outlines further research required prior to the practical application of this approach.
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spelling doaj-art-b24e64ce36a54ee9b2a35b495e443d442025-08-20T02:23:18ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/10654191065419A Resilience Toolbox and Research Design for Black Sky Hazards to Power GridsDmitry Borisoglebsky0Liz Varga1School of Management, Cranfield University, Bedford MK43 0AL, UKDepartment of Civil, Environmental & Geomatic Engineering, UCL, London WC1E 6BT, UKA structured collection of tools for engineering resilience and a research approach to improve the resilience of a power grid are described in this paper. The collection is organized by a two-dimensional array formed from typologies of power grid components and business processes. These two dimensions provide physical and operational outlooks, respectively, for a power grid. The approach for resilience research is based on building a simulation model of a power grid which utilizes a resilience assessment equation to assess baseline resilience to a hazards’ profile, then iteratively selects a subset of tools from the collection, and introduces these as interventions in the power grid simulation model. Calculating the difference in resilience associated with each subset supports multicriteria decision-making to find the most convenient subset of interventions for a power grid and hazards’ profile. Resilience is an emergent quality of a power grid system, and therefore resilience research and interventions must be system-driven. This paper outlines further research required prior to the practical application of this approach.http://dx.doi.org/10.1155/2019/1065419
spellingShingle Dmitry Borisoglebsky
Liz Varga
A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
Complexity
title A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
title_full A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
title_fullStr A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
title_full_unstemmed A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
title_short A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids
title_sort resilience toolbox and research design for black sky hazards to power grids
url http://dx.doi.org/10.1155/2019/1065419
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