DocumentCode
1943900
Title
The impact of optimizing algebraic connectivity in hierarchical communication networks for transmission operations in smart grids
Author
Sydney, A. ; Scoglio, C. ; Gruenbacher, D.
Author_Institution
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fYear
2013
fDate
24-27 Feb. 2013
Firstpage
1
Lastpage
6
Abstract
Most recently, algebraic connectivity has been used in the ongoing research effort that characterizes the robustness of networks to failures and attacks: the larger the algebraic connectivity, the more robust a network, and thus, the larger the number of links that must be removed to fragment the network. In this paper, we investigate the impact on the topology and traffic characteristics of the communication network that supports the transmission component of the smart grid, as links are added/rewired to maximally increase algebraic connectivity. Conventionally, the topology of the communication network tends to be identical to that of the power network. However, we first illustrate through a Demand Response (DR) application that a topology which may be ideal for the power network, may not necessarily be ideal for the communication network. Secondly, we demonstrate how concepts from graph theory can dramatically improve the performance characteristics of a communication network. Finally, we show that in certain cases, rewiring or adding links provide the same level of performance. Thus, network engineers at the initial stage of deploying communication infrastructure, can opt for either solution depending on financial constraints.
Keywords
algebra; failure analysis; graph theory; optimisation; power transmission; smart power grids; DR application; algebraic connectivity optimization; communication infrastructure; communication network topology; demand response application; financial constraints; graph theory; hierarchical communication networks; network engineers; power network; smart grids; traffic characteristics; transmission component; transmission operations; Communication networks; Eigenvalues and eigenfunctions; Load modeling; Multiprotocol label switching; Network topology; Throughput; Topology; Algebraic Connectivity; Network Performance; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
Conference_Location
Washington, DC
Print_ISBN
978-1-4673-4894-2
Electronic_ISBN
978-1-4673-4895-9
Type
conf
DOI
10.1109/ISGT.2013.6497801
Filename
6497801
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