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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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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