Methods for Analysis and Quantification of Power System Resilience

Stanković, Aleksandar M.; Tomsovic, Kevin L.; De Caro, Fabrizio; Braun, Martin; Chow, Joe H.; Čukalevski, Ninel; Dobson, Ian; Eto, Joseph; Fink, Blair; Hachmann, Christian; Hill, David; Ji, Chuanyi; Kavicky, James A.; Levi, Victor; Liu, Chen-Ching; Mili, Lamine; Vieyra, Rodrigo Andres Moreno; Panteli, Mathaios; Petit, Frederic D.; Sansavini, Giovanni; Singh, Chanan; Srivastava, Anurag K.; Strunz, Kai; Sun, Hongbo; Xu, Yin; Zhao, Shijia

doi:10.1109/tpwrs.2022.3212688

Methods for Analysis and Quantification of Power System Resilience

Journal Article · Tue Oct 10 00:00:00 EDT 2023 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/tpwrs.2022.3212688· OSTI ID:2374997

^[1]; ^[2]; ^[3]; ^[4]; Chow, Joe H. ^[5]; ^[6]; ^[7]; Eto, Joseph ^[8]; Fink, Blair ^[9]; ^[4]; ^[10]; ^[11]; Kavicky, James A. ^[12]; ^[13]; ^[14]; ^[14]; ^[15]; ^[16]; Petit, Frederic D. ^[12]; ^[17] more »

Tufts Univ., Medford, MA (United States)
Univ. of Tennessee, Knoxville, TN (United States)
Univ. of Sannio, Benevento (Italy)
Universität Kassel (Germany)
Rensselaer Polytechnic Inst., Troy, NY (United States)
Inst. Mihajlo Pupin, Belgrad (Serbia)
Iowa State Univ., Ames, IA (United States)
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Georgia Public Service Commission, Atlanta, GA (United States)
Univ. of Sydney, NSW (Australia)
Georgia Institute of Technology, Atlanta, GA (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States)
Univ. of Manchester (United Kingdom)
Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
University of Chile, Santiago (Chile)
University of Cyprus, Nicosia (Cyprus)
Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
Texas A & M Univ., College Station, TX (United States)
West Virginia Univ., Morgantown, WV (United States)
Technische Univ. Berlin (Germany)
Mitsubishi Electric Research Lab., Cambridge, MA (United States)
Beijing Jiaotong Univ., Beijing (China)

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.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); National Science Foundation (NSF); US Department of the Navy, Office of Naval Research (ONR)

Grant/Contract Number:: AC02-06CH11357; AC02-05CH11231; ECCS-1710944; EEC-1041877; N00014-16-1-3028

OSTI ID:: 2374997

Alternate ID(s):: OSTI ID: 2323298

Journal Information:: IEEE Transactions on Power Systems, Vol. 38, Issue 5; ISSN 0885-8950

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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42 ENGINEERING
Power System Resilience
Reliability
Emergency Response
Restoration
Recovery
Planning
Operation
Operator Training
power system resilience
reliability
emergency response
restoration
recovery
planning
operation
operator training

Methods for Analysis and Quantification of Power System Resilience

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References (45)

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