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Correlating empirical data and extended topological measures in power grid networks
dc.contributor.author | Luo, Lingen |
dc.contributor.author | Rosas Casals, Martí |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics |
dc.date.accessioned | 2015-02-18T12:23:24Z |
dc.date.available | 2015-08-03T00:30:42Z |
dc.date.created | 2015-02-02 |
dc.date.issued | 2015-02-02 |
dc.identifier.citation | Luo, L.; Rosas-Casals, M. Correlating empirical data and extended topological measures in power grid networks. "International Journal of Critical Infrastructures", 02 Febrer 2015, vol. 11, núm. 1, p. 82-96. |
dc.identifier.issn | 1475-3219 |
dc.identifier.uri | http://hdl.handle.net/2117/26409 |
dc.description.abstract | Power grids are considered complex networks. Their structure and dynamics have been thoroughly studied and many topological measures have been used to classify them, evaluate their behaviour or model their response to malfunctions. Results have been theoretical and correlations between real dynamical behaviour (i.e., major events) and structural measures have not yet been found. New electrically modified topological measures have been recently used to quantify the ability of a network in sustaining its functions. Here, we present a first attempt to correlate these new measures with real malfunction data for some European power transmission grids. Similar behaviour is found, in terms of robustness to selected attacks to buses, between different networks. These behaviours can be correlated with similar probability distributions of major events, identifying similar dynamical response among topologically similar grids. This would raise hopes in finding a more meaningful linkage between structural measures and the real dynamical output of a grid. |
dc.format.extent | 15 p. |
dc.language.iso | spa |
dc.publisher | InderScience Publishers |
dc.subject | Àrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l’energia |
dc.subject | Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Prospectiva, sistèmica i modelització |
dc.subject.lcsh | Electric power distribution |
dc.subject.lcsh | Electric network analysis |
dc.subject.other | Complex networks |
dc.subject.other | Graph theory |
dc.subject.other | Electrical betweenness |
dc.subject.other | Entropy degree |
dc.subject.other | Topological measures |
dc.subject.other | Fat-tailed distribution |
dc.subject.other | Maximal information-based statistics |
dc.subject.other | KS test. |
dc.title | Correlating empirical data and extended topological measures in power grid networks |
dc.title.alternative | On the difficulty (and success) of correlating empirical data and (extended) topological measures in power grid networks |
dc.type | Article |
dc.subject.lemac | Energia elèctrica -- Distribució |
dc.subject.lemac | Xarxes elèctriques -- Anàlisi |
dc.contributor.group | Universitat Politècnica de Catalunya. SUMMLab - Sustainability Measurement and Modeling Lab |
dc.identifier.doi | 10.1504/IJCIS.2015.067396 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.identifier.drac | 15413420 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Luo, L.; Rosas-Casals, M. |
local.citation.publicationName | International Journal of Critical Infrastructures |
local.citation.volume | 11 |
local.citation.number | 1 |
local.citation.startingPage | 82 |
local.citation.endingPage | 96 |
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