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Optimizing Network Expansion and Battery Storage to Mitigate Cascading Outages via Detailed System Failures Simulations
Indexado
WoS WOS:001488488800043
Scopus SCOPUS_ID:105004687543
DOI 10.1109/ACCESS.2025.3567436
Año 2025
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Power networks have traditionally been designed to withstand credible outages, such as N-1 or N-2, often overlooking the complex interdependencies that can lead to cascading outages in modern systems. To address these evolving risks, planning models must adapt to better anticipate and mitigate cascading outages, while also guiding network expansion and the integration of advanced technologies. This paper presents a methodological framework for optimizing network expansion and battery storage investments to mitigate cascading outages. The framework uses an Optimization via Simulation (OvS) approach that incorporates detailed system failure simulations to assess the effectiveness of various network enhancements, including transmission lines, power transformers, reactive power compensation devices and battery storage units. In addition, a sampling process is used to select the number of trigger outage scenarios to be considered within the OvS approach. The effectiveness of the proposed framework is demonstrated on two test networks: a modified version of the IEEE 24-bus test network and the German transmission network. The main findings demonstrate: (a) that incorporating cascading outages into investment planning leads to different network enhancement decisions compared to conventional planning models (which exclude cascading outages), (b) that an optimal mix of network enhancements can significantly mitigate cascading outages, and (c) the computational scalability of the proposed framework.

Revista



Revista ISSN
Ieee Access 2169-3536

Métricas Externas



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Disciplinas de Investigación



WOS
Computer Science, Information Systems
Telecommunications
Engineering, Electrical & Electronic
Scopus
Materials Science (All)
Computer Science (All)
Engineering (All)
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Villamarin-Jacome, Alex - Universidad de Chile - Chile
Univ Fuerzas Armadas ESPE - Ecuador
Universidad de las Fuerzas Armadas ESPE - Ecuador
2 MORENO-VIEYRA, RODRIGO ANDRES Hombre Universidad de Chile - Chile
Instituto Sistemas Complejos de Ingeniería - Chile
3 Panteli, Mathaios - Univ Cyprus - Chipre
UNIVERSITY OF CYPRUS - Chipre
4 Noebels, Matthias - UNIV MANCHESTER - Reino Unido
The University of Manchester - Reino Unido
5 Cesena, Eduardo Alejandro Martinez - UNIV MANCHESTER - Reino Unido
The University of Manchester - Reino Unido
6 Preece, Robin - UNIV MANCHESTER - Reino Unido
The University of Manchester - Reino Unido

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Financiamiento



Fuente
FONDECYT
Fondo Nacional de Desarrollo Científico y Tecnológico
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación
ANID, Chile
Agencia Nacional de Investigación y Desarrollo
SENESCYT, Ecuador
Project ''Reliability, Resilience and Defense Technology for the Grid'' (R2D2)

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This work was supported in part by SENESCYT, Ecuador, under Grant SENESCYT/ARSEQ-BEC-006295-2018; in part by ANID, Chile, under Grant BECAS/DOCTORADO NACIONAL 21191290, Grant PIA/PUENTE AFB230002, and Grant FONDECYT 1231924; and in part by the Project ''Reliability, Resilience and Defense Technology for the Grid'' (R2D2) under Grant 101075714.
This work was supported in part by SENESCYT, Ecuador, under Grant SENESCYT/ARSEQ-BEC-006295-2018; in part by ANID, Chile, under Grant BECAS/DOCTORADO NACIONAL 21191290, Grant PIA/PUENTE AFB230002, and Grant FONDECYT 1231924; and in part by the Project \u2018\u2018Reliability, Resilience and Defense Technology for the Grid\u2019\u2019 (R2D2) under Grant 101075714.

Muestra la fuente de financiamiento declarada en la publicación.