Data-driven optimization for seismic-resilient power network planning *

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dc.contributor.authorOneto, Alfredo
dc.contributor.authorLorca, Alvaro
dc.contributor.authorFerrario, Elisa
dc.contributor.authorPoulos, Alan
dc.contributor.authorDe La Llera, Juan Carlos
dc.contributor.authorNegrete-Pincetic, Matias
dc.date.accessioned2025-01-20T16:18:54Z
dc.date.available2025-01-20T16:18:54Z
dc.date.issued2024
dc.description.abstractMany regions of the planet are exposed to seismic hazards that can cause devastating consequences on power systems. Due to these systems' crucial role, the evaluation and planning for their safe and reliable operation are paramount. This paper develops a novel data -driven optimization framework to assess the power network's seismic resilience and plan cost-effective investments for its enhancement. Under a robust optimization scheme, an earthquake attacker-defender model finds the worst -case realization of random earthquake network contingencies within an uncertainty set defined with a large number of scenarios generated by state-of-the-art engineering methods. Moreover, data -driven stochastic -robust optimization is employed in a two -stage seismic -resilient power network planning model, leveraging multiple seismic sources' distributional information. Transmission line expansions and siting and sizing of battery energy storage systems are decided in the first stage, while the second stage decides operational variables. Experiments on a 281 -node Chilean power system provide insights for seismic -resilient planning and demonstrate the efficiency of the proposed approach.
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.cor.2024.106628
dc.identifier.eissn1873-765X
dc.identifier.issn0305-0548
dc.identifier.urihttps://doi.org/10.1016/j.cor.2024.106628
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90670
dc.identifier.wosidWOS:001218201400001
dc.language.isoen
dc.revistaComputers & operations research
dc.rightsacceso restringido
dc.subjectOR in energy
dc.subjectData-driven optimization
dc.subjectRobust optimization
dc.subjectPower systems resilience
dc.subjectSeismic hazards
dc.titleData-driven optimization for seismic-resilient power network planning *
dc.typeartículo
dc.volumen166
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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