TY - JOUR
T1 - Open database analysis of scaling and spatio-temporal properties of power grid frequencies
AU - Rydin Gorjão, Leonardo
AU - Jumar, Richard
AU - Maass, Heiko
AU - Hagenmeyer, Veit
AU - Yalcin, G. Cigdem
AU - Kruse, Johannes
AU - Timme, Marc
AU - Beck, Christian
AU - Witthaut, Dirk
AU - Schäfer, Benjamin
PY - 2020/12/11
Y1 - 2020/12/11
N2 - The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open database of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open database and analyses constitute a step towards more shared, collaborative energy research.
AB - The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open database of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open database and analyses constitute a step towards more shared, collaborative energy research.
KW - Power grids
KW - Energy systems
KW - Stochastic processes
KW - Dynamical systems
KW - Power-grid frequency
U2 - 10.1038/s41467-020-19732-7
DO - 10.1038/s41467-020-19732-7
M3 - Article
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
M1 - 6362
ER -