From Coupling to Resilience: Quantifying the Impact of Interconnection in Energy Carrier Grids
Rico Schrage, Astrid Nie{\ss}e

TL;DR
This paper investigates how the interconnection of energy carrier grids affects their resilience, using simulations to analyze the influence of network topology and coupling density on system stability during high-impact events.
Contribution
It introduces a Monte Carlo simulation approach to quantify the impact of grid interconnections on resilience, linking topological metrics to system robustness in multi-energy systems.
Findings
Impact metric effectively measures inter-grid influence.
Higher coupling densities can reduce resilience in single-carrier grids.
Centrality metrics influence the impact of grid components on resilience.
Abstract
Due to the increasing share of renewable energy resources and the emergence of couplings of different energy carrier grids, which may support the electricity networks by providing additional flexibility, conducting research on the properties of multi-energy systems is necessary. Primarily to keep stable grid operation and provide efficient planning, the resilience of such systems against low-probability, high-impact events is central. Previous steady-state resilience studies of electricity grids also involved investigating the topological attributes from a complex network theory perspective. However, this work aims to determine the influence of complex topological attributes on the resilience of coupled energy grids. To achieve this, we set up a Monte Carlo simulation to calculate the load-shedding performance indicator for the grids when affected by high-impact events. This indicator…
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Taxonomy
TopicsSmart Grid Security and Resilience · Optimal Power Flow Distribution · Microgrid Control and Optimization
MethodsSparse Evolutionary Training · Balanced Selection
