Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models

Power-law distributed cascade failures are well known in power-grid systems. Understanding this phenomena has been done by various DC threshold models, self-tuned at their critical point. Here, we attempt to describe it using an AC threshold model, with a second-order Kuramoto type equation of motio...

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Main Authors: Géza Ódor, Bálint Hartmann
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/6/666
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spelling doaj-aabe7a1f461e43bf9006cc017a30cefc2020-11-25T03:47:05ZengMDPI AGEntropy1099-43002020-06-012266666610.3390/e22060666Power-Law Distributions of Dynamic Cascade Failures in Power-Grid ModelsGéza Ódor0Bálint Hartmann1Centre for Energy Research, P. O. Box 49, H-1525 Budapest, HungaryCentre for Energy Research, P. O. Box 49, H-1525 Budapest, HungaryPower-law distributed cascade failures are well known in power-grid systems. Understanding this phenomena has been done by various DC threshold models, self-tuned at their critical point. Here, we attempt to describe it using an AC threshold model, with a second-order Kuramoto type equation of motion of the power-flow. We have focused on the exploration of network heterogeneity effects, starting from homogeneous two-dimensional (2D) square lattices to the US power-grid, possessing identical nodes and links, to a realistic electric power-grid obtained from the Hungarian electrical database. The last one exhibits node dependent parameters, topologically marginally on the verge of robust networks. We show that too weak quenched heterogeneity, coming solely from the probabilistic self-frequencies of nodes (2D square lattice), is not sufficient for finding power-law distributed cascades. On the other hand, too strong heterogeneity destroys the synchronization of the system. We found agreement with the empirically observed power-law failure size distributions on the US grid, as well as on the Hungarian networks near the synchronization transition point. We have also investigated the consequence of replacing the usual Gaussian self-frequencies to exponential distributed ones, describing renewable energy sources. We found a drop in the steady state synchronization averages, but the cascade size distribution, both for the US and Hungarian systems, remained insensitive and have kept the universal tails, being characterized by the exponent <inline-formula> <math display="inline"> <semantics> <mrow> <mi>τ</mi> <mo>≃</mo> <mn>1</mn> <mo>.</mo> <mn>8</mn> </mrow> </semantics> </math> </inline-formula>. We have also investigated the effect of an instantaneous feedback mechanism in case of the Hungarian power-grid.https://www.mdpi.com/1099-4300/22/6/666power-gridKuramotodynamic simulationfailure cascade
collection DOAJ
language English
format Article
sources DOAJ
author Géza Ódor
Bálint Hartmann
spellingShingle Géza Ódor
Bálint Hartmann
Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
Entropy
power-grid
Kuramoto
dynamic simulation
failure cascade
author_facet Géza Ódor
Bálint Hartmann
author_sort Géza Ódor
title Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
title_short Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
title_full Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
title_fullStr Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
title_full_unstemmed Power-Law Distributions of Dynamic Cascade Failures in Power-Grid Models
title_sort power-law distributions of dynamic cascade failures in power-grid models
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2020-06-01
description Power-law distributed cascade failures are well known in power-grid systems. Understanding this phenomena has been done by various DC threshold models, self-tuned at their critical point. Here, we attempt to describe it using an AC threshold model, with a second-order Kuramoto type equation of motion of the power-flow. We have focused on the exploration of network heterogeneity effects, starting from homogeneous two-dimensional (2D) square lattices to the US power-grid, possessing identical nodes and links, to a realistic electric power-grid obtained from the Hungarian electrical database. The last one exhibits node dependent parameters, topologically marginally on the verge of robust networks. We show that too weak quenched heterogeneity, coming solely from the probabilistic self-frequencies of nodes (2D square lattice), is not sufficient for finding power-law distributed cascades. On the other hand, too strong heterogeneity destroys the synchronization of the system. We found agreement with the empirically observed power-law failure size distributions on the US grid, as well as on the Hungarian networks near the synchronization transition point. We have also investigated the consequence of replacing the usual Gaussian self-frequencies to exponential distributed ones, describing renewable energy sources. We found a drop in the steady state synchronization averages, but the cascade size distribution, both for the US and Hungarian systems, remained insensitive and have kept the universal tails, being characterized by the exponent <inline-formula> <math display="inline"> <semantics> <mrow> <mi>τ</mi> <mo>≃</mo> <mn>1</mn> <mo>.</mo> <mn>8</mn> </mrow> </semantics> </math> </inline-formula>. We have also investigated the effect of an instantaneous feedback mechanism in case of the Hungarian power-grid.
topic power-grid
Kuramoto
dynamic simulation
failure cascade
url https://www.mdpi.com/1099-4300/22/6/666
work_keys_str_mv AT gezaodor powerlawdistributionsofdynamiccascadefailuresinpowergridmodels
AT balinthartmann powerlawdistributionsofdynamiccascadefailuresinpowergridmodels
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