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Methods for Analysis and Quantification of Power System Resilience
Indexado
WoS WOS:001054600200059
Scopus SCOPUS_ID:85169299227
DOI 10.1109/TPWRS.2022.3212688
Año 2023
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



This paper summarizes the report prepared by an IEEE PES Task Force. Resilience is a fairly new technical concept for power systems, and it is important to precisely delineate this concept for actual applications. As a critical infrastructure, power systems have to be prepared to survive rare but extreme incidents (natural catastrophes, extreme weather events, physical/cyber-attacks, equipment failure cascades, etc.) to guarantee power supply to the electricity-dependent economy and society. Thus, resilience needs to be integrated into planning and operational assessment to design and operate adequately resilient power systems. Quantification of resilience as a key performance indicator is important, together with costs and reliability. Quantification can analyze existing power systems and identify resilience improvements in future power systems. Given that a 100% resilient system is not economic (or even technically achievable), the degree of resilience should be transparent and comprehensible. Several gaps are identified to indicate further needs for research and development.

Métricas Externas



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Disciplinas de Investigación



WOS
Engineering, Electrical & Electronic
Scopus
Energy Engineering And Power Technology
Electrical And Electronic Engineering
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 Stankovic, Aleksandar M. - Tufts Univ - Estados Unidos
Tufts University - Estados Unidos
2 Tomsovic, Kevin L. - Tennessee Univ - Estados Unidos
The University of Tennessee, Knoxville - Estados Unidos
3 De Caro, Fabrizio - Univ Sannio - Italia
Università degli Studi del Sannio - Italia
4 Braun, Martin - Univ Kassel - Alemania
Universität Kassel - Alemania
5 Chow, Joe H. - Rensselaer Polytech Inst - Estados Unidos
Rensselaer Polytechnic Institute - Estados Unidos
6 Cukalevski, Ninel - Inst Mihajlo Pupin - Serbia
Institute Mihailo Pupin - Serbia
7 Dobson, Ian - Iowa State Univ - Estados Unidos
Iowa State University - Estados Unidos
8 Eto, Joseph - Lawrence Berkeley Natl Lab - Estados Unidos
Lawrence Berkeley National Laboratory - Estados Unidos
9 Fink, Blair - Georgia Publ Serv Commiss - Estados Unidos
Georgia Public Service Commission - Estados Unidos
10 Hachmann, Christian - Univ Kassel - Alemania
Universität Kassel - Alemania
11 Hill, David Hombre UNIV SYDNEY - Australia
The University of Sydney - Australia
12 Ji, Chuanyi - Georgia Inst Technol - Estados Unidos
Georgia Institute of Technology - Estados Unidos
13 Kavicky, James A. - Argonne Natl Lab - Estados Unidos
Argonne National Laboratory - Estados Unidos
14 Levi, Victor - UNIV MANCHESTER - Reino Unido
The University of Manchester - Reino Unido
15 Liu, Chen-Ching - Virginia Tech - Estados Unidos
Virginia Polytechnic Institute and State University - Estados Unidos
16 Mili, Lamine - Virginia Tech - Estados Unidos
Virginia Polytechnic Institute and State University - Estados Unidos
17 MORENO-VIEYRA, RODRIGO ANDRES Hombre Universidad de Chile - Chile
Instituto Sistemas Complejos de Ingeniería - Chile
Imperial Coll London - Reino Unido
Imperial College London - Reino Unido
18 Panteli, Mathaios - Univ Cyprus - Chipre
Argonne National Laboratory - Estados Unidos
UNIVERSITY OF CYPRUS - Chipre
19 Petit, Frederic D. - Argonne Natl Lab - Estados Unidos
ETH Zurich - Suiza
Argonne National Laboratory - Estados Unidos
20 Sansavini, Giovanni Hombre Swiss Fed Inst Technol - Suiza
UNIVERSITY OF CYPRUS - Chipre
ETH Zurich - Suiza
21 Singh, Chanan - Texas A&M Univ - Estados Unidos
Texas A&M University - Estados Unidos
22 Srivastava, Anurag K. - West Virginia Univ - Estados Unidos
West Virginia University - Estados Unidos
23 Strunz, Kai - TECH UNIV BERLIN - Alemania
Technische Universität Berlin - Alemania
24 Sun, Hongbo - Mitsubishi Elect Res Lab - Estados Unidos
Mitsubishi Electric Research Laboratories - Estados Unidos
25 Xu, Yin - Beijing Jiaotong Univ - China
Beijing Jiaotong University - China
26 Zhao, Shijia - Argonne Natl Lab - Estados Unidos
Argonne National Laboratory - Estados Unidos

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Financiamiento



Fuente
FONDECYT
National Science Foundation
Fondo Nacional de Desarrollo Científico y Tecnológico
NSF
U.S. Department of Energy
Office of Naval Research
Instituto de Sistemas Complejos de Ingeniería
ONR
Department of Energy under NSF
ANID, Chile
Agencia Nacional de Investigación y Desarrollo
CURENT Engineering Research Center of the National Science Foundation

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Agradecimientos



Agradecimiento
The work of Rodrigo Moreno was supported by ANID, Chile, under Grants PIA/APOYO AFB180003 (Instituto Sistemas Complejos de Ingenieria (ISCI), and Fondecyt /1181928. The work of Aleksandar M. Stankovic was supported in part by NSF under Grant ECCS-1710944, in part by CURENT Engineering Research Center of the National Science Foundation and the Department of Energy under NSF Award EEC-1041877, and in part by ONR under Grant N00014-16-1-3028. Paper no. TPWRS-00576-2022.
The work of Rodrigo Moreno was supported by ANID, Chile, under Grants PIA/APOYO AFB180003 (Instituto Sistemas Complejos de Ingenieria (ISCI), and Fondecyt /1181928. The work of Aleksandar M. Stankovíc was supported in part by NSF under Grant ECCS-1710944, in part by CURENT Engineering Research Center of the National Science Foundation and the Department of Energy under NSF Award EEC-1041877, and in part by ONR under Grant N00014-16-1-3028. Paper no. TPWRS-00576-2022

Muestra la fuente de financiamiento declarada en la publicación.