TY - JOUR
T1 - Resiliently evolving supply-demand networks
AU - Rubido, N.
AU - Grebogi, C.
AU - Baptista, M.S.
PY - 2014/1/9
Y1 - 2014/1/9
N2 - The ability to design a transport network such that commodities are brought from suppliers to consumers in a steady, optimal, and stable way is of great importance for distribution systems nowadays. In this work, by using the circuit laws of Kirchhoff and Ohm, we provide the exact capacities of the edges that an optimal supply-demand network should have to operate stably under perturbations, i.e., without overloading. The perturbations we consider are the evolution of the connecting topology, the decentralization of hub sources or sinks, and the intermittence of supplier and consumer characteristics. We analyze these conditions and the impact of our results, both on the current United Kingdom power-grid structure and on numerically generated evolving archetypal network topologies.
AB - The ability to design a transport network such that commodities are brought from suppliers to consumers in a steady, optimal, and stable way is of great importance for distribution systems nowadays. In this work, by using the circuit laws of Kirchhoff and Ohm, we provide the exact capacities of the edges that an optimal supply-demand network should have to operate stably under perturbations, i.e., without overloading. The perturbations we consider are the evolution of the connecting topology, the decentralization of hub sources or sinks, and the intermittence of supplier and consumer characteristics. We analyze these conditions and the impact of our results, both on the current United Kingdom power-grid structure and on numerically generated evolving archetypal network topologies.
KW - resistance-distance
KW - energy
KW - graph
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84894533238&partnerID=MN8TOARS
U2 - 10.1103/PhysRevE.89.012801
DO - 10.1103/PhysRevE.89.012801
M3 - Article
VL - 89
JO - Physical Review. E, Statistical, Nonlinear and Soft Matter Physics
JF - Physical Review. E, Statistical, Nonlinear and Soft Matter Physics
SN - 1539-3755
IS - 1
M1 - 012801
ER -