TY - JOUR
T1 - A network approach to decentralized coordination of energy production-consumption grids
AU - Omodei, Elisa
AU - Arenas, Alex
N1 - Publisher Copyright:
© 2018 Omodei, Arenas. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2018/1
Y1 - 2018/1
N2 - Energy grids are facing a relatively new paradigm consisting in the formation of local distributed energy sources and loads that can operate in parallel independently from the main power grid (usually called microgrids). One of the main challenges in microgrid-like networks management is that of self-adapting to the production and demands in a decentralized coordinated way. Here, we propose a stylized model that allows to analytically predict the coordination of the elements in the network, depending on the network topology. Surprisingly, almost global coordination is attained when users interact locally, with a small neighborhood, instead of the obvious but more costly all-to-all coordination. We compute analytically the optimal value of coordinated users in random homogeneous networks. The methodology proposed opens a new way of confronting the analysis of energy demand-side management in networked systems.
AB - Energy grids are facing a relatively new paradigm consisting in the formation of local distributed energy sources and loads that can operate in parallel independently from the main power grid (usually called microgrids). One of the main challenges in microgrid-like networks management is that of self-adapting to the production and demands in a decentralized coordinated way. Here, we propose a stylized model that allows to analytically predict the coordination of the elements in the network, depending on the network topology. Surprisingly, almost global coordination is attained when users interact locally, with a small neighborhood, instead of the obvious but more costly all-to-all coordination. We compute analytically the optimal value of coordinated users in random homogeneous networks. The methodology proposed opens a new way of confronting the analysis of energy demand-side management in networked systems.
UR - http://www.scopus.com/inward/record.url?scp=85041120234&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0191495
DO - 10.1371/journal.pone.0191495
M3 - Article
C2 - 29364962
AN - SCOPUS:85041120234
SN - 1932-6203
VL - 13
JO - PLoS ONE
JF - PLoS ONE
IS - 1
M1 - e0191495
ER -