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Energy Not Exchanged: A Metric to Quantify Energy Resilience in Smart Grids

Author

Listed:
  • Hassen Soualah

    (SATIE, ENS Rennes CNRS, 35170 Bruz, France
    Current address: ENS Rennes, Avenue Robert Schuman, 35170 Bruz, France.)

  • Gurvan Jodin

    (SATIE, ENS Rennes CNRS, 35170 Bruz, France
    Current address: ENS Rennes, Avenue Robert Schuman, 35170 Bruz, France.)

  • Roman Le Goff Latimier

    (SATIE, ENS Rennes CNRS, 35170 Bruz, France
    Current address: ENS Rennes, Avenue Robert Schuman, 35170 Bruz, France.)

  • Hamid Ben Ahmed

    (SATIE, ENS Rennes CNRS, 35170 Bruz, France
    Current address: ENS Rennes, Avenue Robert Schuman, 35170 Bruz, France.)

Abstract

In high-impact, low-probability (HILP) events, resilience is defined as the ability of a system to return to a normal operating state after a failure. The generalization of information technologies and distributed renewable production is transforming the power grid into the so-called smart grid, thus allowing for new mitigation methods to address failures. After illustrating the limits of currently existing metrics, this paper proposes a method to quantify the resilience of smart grids during physical line faults while identifying the most impactful failures. For this purpose, a new resilience metric is defined in order to quantify Energy Not Exchanged (ENE). The calculation of this metric in a power grid via the optimal power flow (OPF) serves, therefore, to quantify the extreme resilience of the grid. In addition, various mitigation strategies, which enable maintaining a high level of resilience, despite the presence of failure, are simulated and then compared to one another (tie switch and microgrid formation).

Suggested Citation

  • Hassen Soualah & Gurvan Jodin & Roman Le Goff Latimier & Hamid Ben Ahmed, 2023. "Energy Not Exchanged: A Metric to Quantify Energy Resilience in Smart Grids," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2596-:d:1053757
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    References listed on IDEAS

    as
    1. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
    2. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    3. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    4. Adefarati, T. & Bansal, R.C., 2017. "Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources," Applied Energy, Elsevier, vol. 206(C), pages 911-933.
    Full references (including those not matched with items on IDEAS)

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