Paper
Dynamic Connectivity and Local Frequency Strength under Stochastic Variations
Authors
Bruno Pinheiro, Daniel Dotta
Abstract
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.
Metadata
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Raw Data (Debug)
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.01902v1</id>\n <title>Dynamic Connectivity and Local Frequency Strength under Stochastic Variations</title>\n <updated>2026-03-02T14:22:35Z</updated>\n <link href='https://arxiv.org/abs/2603.01902v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.01902v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>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.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='eess.SY'/>\n <published>2026-03-02T14:22:35Z</published>\n <arxiv:primary_category term='eess.SY'/>\n <author>\n <name>Bruno Pinheiro</name>\n </author>\n <author>\n <name>Daniel Dotta</name>\n </author>\n </entry>"
}