Open database analysis of scaling and spatio-temporal properties of power grid frequencies

被引:25
|
作者
Gorjao, Leonardo Rydin [1 ,2 ]
Jumar, Richard [3 ]
Maass, Heiko [3 ]
Hagenmeyer, Veit [3 ]
Yalcin, G. Cigdem [4 ]
Kruse, Johannes [1 ,2 ]
Timme, Marc [5 ,6 ]
Beck, Christian [7 ]
Witthaut, Dirk [1 ,2 ]
Schaefer, Benjamin [7 ]
机构
[1] Forschungszentrum Julich, Inst Energy & Climate Res Syst Anal & Technol Eva, Julich, Germany
[2] Univ Cologne, Inst Theoret Phys, Cologne, Germany
[3] Karlsruhe Inst Technol, Inst Automat & Appl Informat, Karlsruhe, Germany
[4] Istanbul Univ, Dept Phys, TR-34134 Istanbul, Turkey
[5] Tech Univ Dresden, Ctr Adv Elect Dresden Cfaed, Network Dynam, Dresden, Germany
[6] Tech Univ Dresden, Inst Theoret Phys, Dresden, Germany
[7] Queen Mary Univ London, Sch Math Sci, London, England
基金
英国工程与自然科学研究理事会;
关键词
STABILITY; INERTIA; IDENTIFICATION;
D O I
10.1038/s41467-020-19732-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. Power grid frequencies mirror the state of the grid. Here, Rydin GorjAo et al. analyse measurements of power grid frequencies across areas and continents and uncover scaling laws of their fluctuations and spatio-temporal dynamics, which could aid the design, operation and control of power systems.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Open database analysis of scaling and spatio-temporal properties of power grid frequencies
    Leonardo Rydin Gorjão
    Richard Jumar
    Heiko Maass
    Veit Hagenmeyer
    G. Cigdem Yalcin
    Johannes Kruse
    Marc Timme
    Christian Beck
    Dirk Witthaut
    Benjamin Schäfer
    Nature Communications, 11
  • [2] Stochastic Spatio-Temporal Hurricane Impact Analysis for Power Grid Resilience Studies
    Muhs, John W.
    Parvania, Masood
    2019 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2019,
  • [3] Qualitative spatio-temporal database
    Wang, Sheng-Sheng
    Liu, Da-You
    Chen, Juan
    Jia, Hai-Yang
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2002 - +
  • [4] Spatio-temporal complexity of power-grid frequency fluctuations
    Gorjao, Rydin
    Schaefer, Benjamin
    Witthaut, Dirk
    Beck, Christian
    NEW JOURNAL OF PHYSICS, 2021, 23 (07):
  • [5] A theory of spatio-temporal database queries
    Geerts, F
    Haesevoets, S
    Kuijpers, B
    DATABASE PROGRAMMING LANGUAGES, 2002, 2397 : 198 - 212
  • [6] A Survey of Spatio-Temporal Database Research
    Pant, Neelabh
    Fouladgar, Mohammadhani
    Elmasri, Ramez
    Jitkajornwanich, Kulsawasd
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT II, 2018, 10752 : 115 - 126
  • [7] Spatio-temporal indexing in database semantics
    Hausser, R
    COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, 2001, 2004 : 53 - 68
  • [8] Minimal Spatio-Temporal Database Repairs
    Mauder, Markus
    Reisinger, Markus
    Emrich, Tobias
    Zueffle, Andreas
    Renz, Matthias
    Trajcevski, Goce
    Tamassia, Roberto
    ADVANCES IN SPATIAL AND TEMPORAL DATABASES (SSTD 2015), 2015, 9239 : 255 - 273
  • [9] Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data
    Effendi, Sedick Baker
    van der Merwe, Brink
    Balke, Wolf-Tilo
    FUTURE INTERNET, 2020, 12 (05):
  • [10] An examination of the spatio-temporal integration of spatial frequencies
    McSorley, E
    Findlay, JM
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1999, 40 (04) : S43 - S43