Engineering Structural Robustness in Power Grid Networks Susceptible to Coherent Swing Instability
Daniel Dylewsky, Xiu Yang, Alexandre Tartakovsky, and J. Nathan Kutz

TL;DR
This paper introduces network evaluation metrics and an engineering approach to enhance power grid robustness against Coherent Swing Instability by identifying weak points and optimizing connectivity.
Contribution
It develops new metrics for community detection and weak point identification, and proposes a network modification strategy to improve grid stability against CSI.
Findings
Modifying network connectivity reduces CSI incidence in simulations.
Identifies weak points in power grid susceptible to CSI.
Provides diagnostic tools for grid resilience enhancement.
Abstract
Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network level evaluation metrics to (i) identify community substructures in the power grid network, (ii) determine weak points in the network that are particularly sensitive to CSI, and (iii) produce an engineering approach for the addition of transmission lines to reduce the incidences of CSI in existing networks, or design new power grid networks that are robust to CSI by their network design. For simulations on a reduced model for the American Northeast power grid, where a block of buses representing the New England region exhibit a strong propensity for CSI, we show that modifying the network's connectivity structure can markedly improve the grid's resilience to CSI. Our analysis…
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