Title
An Affine-Arithmetic-Based Consensus Protocol for Smart-Grid Computing in the Presence of Data Uncertainties
Abstract
The recent advances in cooperative and bio-inspired computing based on self-organizing sensor networks have been recognized as a very promising enabling technology for future smart grids (SGs). Although many papers outline the important role of these paradigms in decentralized SG monitoring and control, they do not explicitly consider the effect of the uncertainties that characterize the actual power system environment. The effects of these uncertainties could compromise the convergence of consensus-based algorithms in the form of unwanted changes in the convergence time, increasing the convergence errors and compromising the repeatability of the convergence. To address this problem, this paper proposes a new consensus protocol based on the use of affine arithmetic. The application of this reliable consensus protocol to decentralized SG computing is explained in detail. Furthermore, several numerical results are presented and discussed to demonstrate the effectiveness of the proposed methodology.
Year
DOI
Venue
2015
10.1109/TIE.2014.2363046
Industrial Electronics, IEEE Transactions  
Keywords
Field
DocType
affine transforms,decentralised control,power engineering computing,power system control,power system measurement,protocols,smart power grids,affine-arithmetic-based consensus protocol,bio-inspired computing,cooperative computing,data uncertainty,decentralized sg control,decentralized sg monitoring,self-organizing sensor network,smart grid computing,expert systems,power system monitoring,uncertain systems,reliability,convergence,oscillators,uncertainty,synchronization,bio inspired computing
Convergence (routing),Monitoring and control,Synchronization,Smart grid,Affine arithmetic,Computer science,Control theory,Expert system,Electric power system,Control engineering,Wireless sensor network,Distributed computing
Journal
Volume
Issue
ISSN
62
5
0278-0046
Citations 
PageRank 
References 
10
0.54
19
Authors
4
Name
Order
Citations
PageRank
Vincenzo Loia11792148.86
Vladimir V. Terzija28014.28
Alfredo Vaccaro314821.07
Peter Wall4263.20