Identifying optimal portfolios of resilient network Investments against natural hazards, With applications to earthquakes
Author
dc.contributor.author
Lagos González, Tomás
Author
dc.contributor.author
Moreno Vieyra, Rodrigo
Author
dc.contributor.author
Navarro Espinosa, Alejandro
Author
dc.contributor.author
Panteli, Mathaios
Author
dc.contributor.author
Sacaan Amunátegui, Rafael
Author
dc.contributor.author
Ordóñez, Fernando
Author
dc.contributor.author
Rudnick, Hugh
Author
dc.contributor.author
Mancarella, Pierluigi
Admission date
dc.date.accessioned
2020-05-25T13:53:59Z
Available date
dc.date.available
2020-05-25T13:53:59Z
Publication date
dc.date.issued
2020
Cita de ítem
dc.identifier.citation
IEEE Transactions on Power Systems, Vol. 35, No. 2, (2020)
es_ES
Identifier
dc.identifier.other
10.1109/TPWRS.2019.2945316
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/174925
Abstract
dc.description.abstract
Although extreme natural disasters have occurred all over the world throughout history, power systems planners do not usually recognize them within network investment methodologies. Moreover, planners had historically focused on reliability approaches based on average (rather than risk) performance indicators, undermining the effects of high impact and low probability events on investment decisions. To move towards a resilience centred approach, we propose a practical framework that can be used to identify network investments that offer the highest level of hedge against risks caused by natural hazards. In a first level, our framework proposes network enhancements and, in a second level, uses a simulation to evaluate the resilience level improvements associated with the network investment propositions. The simulator includes 4 phases: threat characterization, vulnerability of systems components, system response, and system restoration, which are simulated in a sequential Monte Carlo fashion. We use this modeling framework to find optimal portfolio solutions for resilient network enhancements. Through several case studies with applications to earthquakes, we distinguish the fundamental differences between reliability- and resilience-driven enhancements, and demonstrate the advantages of combining transmission investments with installation of backup distributed generation.
es_ES
Patrocinador
dc.description.sponsorship
Engineering & Physical Sciences Research Council (EPSRC) EP/N034899/1 Newton-Picarte/MR/N026721/1
Comisión Nacional de Investigación Cientifica y Tecnológica (CONICYT) EP/N034899/1 Newton-Picarte/MR/N026721/1
TERSE: Techno-Economic framework for Resilient and Sustainable Electrification EP/R030294/1
Complex Engineering Systems Institute CONICYT PIA/BASAL AFB180003
Powered@NLHPC supercomputing infrastructure ECM-02 Newton Fund Fondecyt/1181928 Fondecyt/1181136
SERC Fondap/15110019
es_ES
Lenguage
dc.language.iso
en
es_ES
Publisher
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)