Community consistency determines the stability transition window of power-grid nodes
The synchrony of electric power systems is important in order to maintain a stable electricity supply. Recently, the measure basin stability was introduced to quantify a node’s ability to recover its synchronization when perturbed. In this work, we focus on how basin stability depends on the couplin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2015-01-01
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| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/17/11/113005 |
| _version_ | 1797751129539346432 |
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| author | Heetae Kim Sang Hoon Lee Petter Holme |
| author_facet | Heetae Kim Sang Hoon Lee Petter Holme |
| author_sort | Heetae Kim |
| collection | DOAJ |
| description | The synchrony of electric power systems is important in order to maintain a stable electricity supply. Recently, the measure basin stability was introduced to quantify a node’s ability to recover its synchronization when perturbed. In this work, we focus on how basin stability depends on the coupling strength between nodes. We use the Chilean power grid as a case study. In general, basin stability goes from zero to one as coupling strength increases. However, this transition does not happen at the same value for different nodes. By understanding the transition for individual nodes, we can further characterize their role in the power-transmission dynamics. We find that nodes with an exceptionally large transition window also have a low community consistency. In other words, they are hard to classify to one community when applying a community detection algorithm. This also gives an efficient way to identify nodes with a long transition window (which is computationally time consuming). Finally, to corroborate these results, we present a stylized example network with prescribed community structures that captures the mentioned characteristics of the basin stability transition and recreates our observations. |
| first_indexed | 2024-03-12T16:42:57Z |
| format | Article |
| id | doaj.art-d9bd8ac5d8e24d9db5ca8e3d0d64733c |
| institution | Directory Open Access Journal |
| issn | 1367-2630 |
| language | English |
| last_indexed | 2024-03-12T16:42:57Z |
| publishDate | 2015-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | New Journal of Physics |
| spelling | doaj.art-d9bd8ac5d8e24d9db5ca8e3d0d64733c2023-08-08T14:22:41ZengIOP PublishingNew Journal of Physics1367-26302015-01-01171111300510.1088/1367-2630/17/11/113005Community consistency determines the stability transition window of power-grid nodesHeetae Kim0Sang Hoon Lee1Petter Holme2Department of Energy Science, Sungkyunkwan University , Suwon, 16417, KoreaDepartment of Energy Science, Sungkyunkwan University , Suwon, 16417, Korea; School of Physics, Korea Institute for Advanced Study , Seoul, 02455, KoreaDepartment of Energy Science, Sungkyunkwan University , Suwon, 16417, KoreaThe synchrony of electric power systems is important in order to maintain a stable electricity supply. Recently, the measure basin stability was introduced to quantify a node’s ability to recover its synchronization when perturbed. In this work, we focus on how basin stability depends on the coupling strength between nodes. We use the Chilean power grid as a case study. In general, basin stability goes from zero to one as coupling strength increases. However, this transition does not happen at the same value for different nodes. By understanding the transition for individual nodes, we can further characterize their role in the power-transmission dynamics. We find that nodes with an exceptionally large transition window also have a low community consistency. In other words, they are hard to classify to one community when applying a community detection algorithm. This also gives an efficient way to identify nodes with a long transition window (which is computationally time consuming). Finally, to corroborate these results, we present a stylized example network with prescribed community structures that captures the mentioned characteristics of the basin stability transition and recreates our observations.https://doi.org/10.1088/1367-2630/17/11/113005network theorypower gridssynchronization |
| spellingShingle | Heetae Kim Sang Hoon Lee Petter Holme Community consistency determines the stability transition window of power-grid nodes New Journal of Physics network theory power grids synchronization |
| title | Community consistency determines the stability transition window of power-grid nodes |
| title_full | Community consistency determines the stability transition window of power-grid nodes |
| title_fullStr | Community consistency determines the stability transition window of power-grid nodes |
| title_full_unstemmed | Community consistency determines the stability transition window of power-grid nodes |
| title_short | Community consistency determines the stability transition window of power-grid nodes |
| title_sort | community consistency determines the stability transition window of power grid nodes |
| topic | network theory power grids synchronization |
| url | https://doi.org/10.1088/1367-2630/17/11/113005 |
| work_keys_str_mv | AT heetaekim communityconsistencydeterminesthestabilitytransitionwindowofpowergridnodes AT sanghoonlee communityconsistencydeterminesthestabilitytransitionwindowofpowergridnodes AT petterholme communityconsistencydeterminesthestabilitytransitionwindowofpowergridnodes |