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Resilience in an Evolving Electrical Grid

Author

Listed:
  • Phylicia Cicilio

    (Alaska Center for Energy and Power, University of Alaska, Fairbanks, AK 99775, USA)

  • David Glennon

    (School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA)

  • Adam Mate

    (Los Alamos National Laboratory, Los Alamos, NM 87545, USA)

  • Arthur Barnes

    (Los Alamos National Laboratory, Los Alamos, NM 87545, USA)

  • Vishvas Chalishazar

    (Pacific Northwest National Laboratory, Richland, WA 99354, USA)

  • Eduardo Cotilla-Sanchez

    (School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA)

  • Bjorn Vaagensmith

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Jake Gentle

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Craig Rieger

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Richard Wies

    (Alaska Center for Energy and Power, University of Alaska, Fairbanks, AK 99775, USA)

  • Mohammad Heidari Kapourchali

    (Department of Electrical Engineering, University of Alaska, Anchorage, Anchorage, AK 99508, USA)

Abstract

Fundamental shifts in the structure and generation profile of electrical grids are occurring amidst increased demand for resilience. These two simultaneous trends create the need for new planning and operational practices for modern grids that account for the compounding uncertainties inherent in both resilience assessment and increasing contribution of variable inverter-based renewable energy sources. This work reviews the research work addressing the changing generation profile, state-of-the-art practices to address resilience, and research works at the intersection of these two topics in regards to electrical grids. The contribution of this work is to highlight the ongoing research in power system resilience and integration of variable inverter-based renewable energy sources in electrical grids, and to identify areas of current and further study at this intersection. Areas of research identified at this intersection include cyber-physical analysis of solar, wind, and distributed energy resources, microgrids, network evolution and observability, substation automation and self-healing, and probabilistic planning and operation methods.

Suggested Citation

  • Phylicia Cicilio & David Glennon & Adam Mate & Arthur Barnes & Vishvas Chalishazar & Eduardo Cotilla-Sanchez & Bjorn Vaagensmith & Jake Gentle & Craig Rieger & Richard Wies & Mohammad Heidari Kapourch, 2021. "Resilience in an Evolving Electrical Grid," Energies, MDPI, vol. 14(3), pages 1-25, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:694-:d:489491
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    References listed on IDEAS

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    1. Yuan, Wei & Zhao, Long & Zeng, Bo, 2014. "Optimal power grid protection through a defender–attacker–defender model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 83-89.
    2. Alexis Kwasinski, 2016. "Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level," Energies, MDPI, vol. 9(2), pages 1-27, February.
    3. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    4. Hamilton, James & Negnevitsky, Michael & Wang, Xiaolin & Lyden, Sarah, 2019. "High penetration renewable generation within Australian isolated and remote power systems," Energy, Elsevier, vol. 168(C), pages 684-692.
    5. Jean-Nicolas Louis & Stéphane Allard & Freideriki Kotrotsou & Vincent Debusschere, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Post-Print hal-02376337, HAL.
    6. Aditya Sundararajan & Aniket Chavan & Danish Saleem & Arif I. Sarwat, 2018. "A Survey of Protocol-Level Challenges and Solutions for Distributed Energy Resource Cyber-Physical Security," Energies, MDPI, vol. 11(9), pages 1-21, September.
    7. Louis, Jean-Nicolas & Allard, Stéphane & Kotrotsou, Freideriki & Debusschere, Vincent, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Energy, Elsevier, vol. 191(C).
    8. Roege, Paul E. & Collier, Zachary A. & Mancillas, James & McDonagh, John A. & Linkov, Igor, 2014. "Metrics for energy resilience," Energy Policy, Elsevier, vol. 72(C), pages 249-256.
    9. Seung‐Ryong Han & David Rosowsky & Seth Guikema, 2014. "Integrating Models and Data to Estimate the Structural Reliability of Utility Poles During Hurricanes," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1079-1094, June.
    10. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
    11. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    12. Han, Seung-Ryong & Guikema, Seth D. & Quiring, Steven M. & Lee, Kyung-Ho & Rosowsky, David & Davidson, Rachel A., 2009. "Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 199-210.
    13. Mojgan Hojabri & Ulrich Dersch & Antonios Papaemmanouil & Peter Bosshart, 2019. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems," Energies, MDPI, vol. 12(23), pages 1-23, November.
    14. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    15. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
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    Cited by:

    1. Hamid Mirshekali & Athila Q. Santos & Hamid Reza Shaker, 2023. "A Survey of Time-Series Prediction for Digitally Enabled Maintenance of Electrical Grids," Energies, MDPI, vol. 16(17), pages 1-29, August.
    2. Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    3. Beyza, Jesus & Yusta, Jose M., 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    4. Cezar-Petre Simion & Cătălin-Alexandru Verdeș & Alexandra-Andreea Mironescu & Florin-Gabriel Anghel, 2023. "Digitalization in Energy Production, Distribution, and Consumption: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    5. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.

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