Non-local impact of link failures in linear flow networks

被引:23
作者
Strake, Julius [1 ,2 ]
Kaiser, Franz [1 ,2 ]
Basiri, Farnaz [1 ]
Ronellenfitsch, Henrik [3 ]
Witthaut, Dirk [1 ,2 ]
机构
[1] Forschungszentrum Julich, Inst Energy & Climate Res Syst Anal & Technol Eva, D-52428 Julich, Germany
[2] Univ Cologne, Inst Theoret Phys, D-50937 Cologne, Germany
[3] MIT, Dept Math, 77 Massachusetts Ave, Cambridge, MA 02139 USA
来源
NEW JOURNAL OF PHYSICS | 2019年 / 21卷 / 05期
关键词
complex networks; network flows; power grids; link failure; POWER-FLOW; VENATION; EVOLUTION;
D O I
10.1088/1367-2630/ab13ba
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The failure of a single link can degrade the operation of a supply network up to the point of complete collapse. Yet, the interplay between network topology and locality of the response to such damage is poorly understood. Here, we study how topology affects the redistribution of flow after the failure of a single link in linear flow networks with a special focus on power grids. In particular, we analyze the decay of flow changes with distance after a link failure and map it to the field of an electrical dipole for lattice-like networks. The corresponding inverse-square law is shown to hold for all regular tilings. For sparse networks, a long-range response is found instead. In the case of more realistic topologies, we introduce a rerouting distance, which captures the decay of flow changes better than the traditional geodesic distance. Finally, we are able to derive rigorous bounds on the strength of the decay for arbitrary topologies that we verify through extensive numerical simulations. Our results show that it is possible to forecast flow rerouting after link failures to a large extent based on purely topological measures and that these effects generally decay with distance from the failing link. They might be used to predict links prone to failure in supply networks such as power grids and thus help to construct grids providing a more robust and reliable power supply.
引用
收藏
页数:21
相关论文
共 57 条
  • [1] Ahuja Ravindra K, 1993, Network Flows: Theory, Algorithms and Applications
  • [2] Causes of the 2003 major grid blackouts in north America and Europe, and recommended means to improve System Dynamic Performance
    Andersson, G
    Donalek, P
    Farmer, R
    Hatziargyriou, N
    Kamwa, I
    Kundur, P
    Martins, N
    Paserba, J
    Pourbeik, P
    Sanchez-Gasca, J
    Schulz, R
    Stankovic, A
    Taylor, C
    Vittal, V
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) : 1922 - 1928
  • [3] [Anonymous], 1987, Math. Mag., DOI DOI 10.1080/0025570X.1987.11977274
  • [4] BIGGS N, B LONDON MATH SOC, V29, P641
  • [6] Perturbation of infinite networks of resistors
    Cserti, J
    Dávid, G
    Piróth, A
    [J]. AMERICAN JOURNAL OF PHYSICS, 2002, 70 (02) : 153 - 159
  • [7] Observability Analysis in Water Transport Networks: Algebraic Approach
    Diaz, Sarai
    Gonzalez, Javier
    Minguez, Roberto
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (04)
  • [8] Diestel Reinhard, 2010, GRAPH THEORY, V4th
  • [9] Obtaining Statistics of Cascading Line Outages Spreading in an Electric Transmission Network From Standard Utility Data
    Dobson, Ian
    Carreras, Benjamin A.
    Newman, David E.
    Reynolds-Barredo, Jose M.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (06) : 4831 - 4841
  • [10] Resilience in hierarchical fluid flow networks
    Gavrilchenko, Tatyana
    Katifori, Eleni
    [J]. PHYSICAL REVIEW E, 2019, 99 (01)