Dynamical heterogeneity and universality of power-grids Article Swipe
B. Hartmann
,
I. Papp
,
Kristóf Benedek
,
Shengfeng Deng
,
Géza Ódor
,
Jeffrey Kelling
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.15326
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.15326
While weak, tuned asymmetry can improve, strong heterogeneity destroys synchronization in the electric power system. We study the level of heterogeneity, by comparing large high voltage (HV) power-grids of Europe and North America. We provide an analysis of power capacities and loads of various energy sources from the databases and found heavy tailed distributions with similar characteristics. Graph topological measures, community structures also exhibit strong similarities, while the cable admittance distributions can be well fitted with the same power-laws (PL), related to the length distributions. The community detection analysis shows the level of synchronization in different domains of the European HV power grids, by solving a set of swing equations. We provide numerical evidence for frustrated synchronization and Chimera states and point out the relation of topology and level of synchronization in the subsystems. We also provide empirical data analysis of the frequency heterogeneities within the Hungarian HV network and find q-Gaussian distributions related to super-statistics of time-lagged fluctuations, which agree well with former results on the Nordic Grid.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2308.15326
- https://arxiv.org/pdf/2308.15326
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386346050
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386346050Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2308.15326Digital Object Identifier
- Title
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Dynamical heterogeneity and universality of power-gridsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-29Full publication date if available
- Authors
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B. Hartmann, I. Papp, Kristóf Benedek, Shengfeng Deng, Géza Ódor, Jeffrey KellingList of authors in order
- Landing page
-
https://arxiv.org/abs/2308.15326Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2308.15326Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2308.15326Direct OA link when available
- Concepts
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Gaussian, Topology (electrical circuits), Universality (dynamical systems), Synchronization (alternating current), Grid, Asymmetry, Statistical physics, Computer science, Power grid, Power (physics), Mathematics, Physics, Quantum mechanics, Geometry, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.subsystems. | 133 |
| abstract_inverted_index.time-lagged | 157 |
| abstract_inverted_index.topological | 58 |
| abstract_inverted_index.distributions | 53, 70, 152 |
| abstract_inverted_index.fluctuations, | 158 |
| abstract_inverted_index.heterogeneity | 7 |
| abstract_inverted_index.similarities, | 65 |
| abstract_inverted_index.distributions. | 84 |
| abstract_inverted_index.heterogeneity, | 20 |
| abstract_inverted_index.heterogeneities | 143 |
| abstract_inverted_index.synchronization | 9, 93, 116, 130 |
| abstract_inverted_index.characteristics. | 56 |
| abstract_inverted_index.super-statistics | 155 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.1418154 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |