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

Hassen Soualah (), Gurvan Jodin, Roman Le Goff Latimier and Hamid Ben Ahmed
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Hassen Soualah: SATIE, ENS Rennes CNRS, 35170 Bruz, France
Gurvan Jodin: SATIE, ENS Rennes CNRS, 35170 Bruz, France
Roman Le Goff Latimier: SATIE, ENS Rennes CNRS, 35170 Bruz, France
Hamid Ben Ahmed: SATIE, ENS Rennes CNRS, 35170 Bruz, France

Sustainability, 2023, vol. 15, issue 3, 1-18

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).

Keywords: power grid; high-impact low-probability; smart grid; resilience; microgrid; metric (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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