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Correlating empirical data and extended topological measures in power grid networks;
On the difficulty (and success) of correlating empirical data and (extended) topological measures in power grid networks
Luo, Lingen; Rosas Casals, Martí
Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics; Universitat Politècnica de Catalunya. SUMMLab - Laboratori de Mesura i Modelització de la Sostenibilitat
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.
Peer Reviewed
Àrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l’energia
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Prospectiva, sistèmica i modelització
Electric power distribution
Electric network analysis
Complex networks
Graph theory
Electrical betweenness
Entropy degree
Topological measures
Fat-tailed distribution
Maximal information-based statistics
KS test.
Energia elèctrica -- Distribució
Xarxes elèctriques -- Anàlisi
InderScience Publishers

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