Dynamic Connectivity and Local Frequency Strength under Stochastic Variations

Fuente: arXiv
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Hauptverfasser: Pinheiro, Bruno, Dotta, Daniel
Format: Preprint
Veröffentlicht: 2026
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author Pinheiro, Bruno
Dotta, Daniel
author_facet Pinheiro, Bruno
Dotta, Daniel
contents This paper introduces a novel metric, termed the Generalized Fiedler Vector (GFV), to evaluate the \textit{dynamic connectivity} in power systems. The proposed metric leverages the network connectivity, represented by the system Laplacian matrix, together with the nodal inertia distribution, following a formulation previously developed by the first author. By capturing the interplay between system topology and dynamic properties, the GFV provides valuable insights for the optimal siting of stochastic generation to mitigate its impact on local and system-wide frequency variability. The effectiveness of the proposed approach is demonstrated through Monte Carlo simulations performed on the IEEE 68-bus test system.
format Preprint
id arxiv_https___arxiv_org_abs_2603_01902
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Dynamic Connectivity and Local Frequency Strength under Stochastic Variations
Pinheiro, Bruno
Dotta, Daniel
Systems and Control
This paper introduces a novel metric, termed the Generalized Fiedler Vector (GFV), to evaluate the \textit{dynamic connectivity} in power systems. The proposed metric leverages the network connectivity, represented by the system Laplacian matrix, together with the nodal inertia distribution, following a formulation previously developed by the first author. By capturing the interplay between system topology and dynamic properties, the GFV provides valuable insights for the optimal siting of stochastic generation to mitigate its impact on local and system-wide frequency variability. The effectiveness of the proposed approach is demonstrated through Monte Carlo simulations performed on the IEEE 68-bus test system.
title Dynamic Connectivity and Local Frequency Strength under Stochastic Variations
topic Systems and Control
url https://arxiv.org/abs/2603.01902