Paper Info
Title
Robust collaborative state estimation for smart grid monitoring
Abstract
This paper proposes a decentralized state estimation scheme via network gossiping with applications in smart grid wide-area monitoring. The proposed scheme allows distributed control areas to solve for an accurate global state estimate collaboratively using the proposed Gossip-based Gauss-Newton (GGN) algorithm. Furthermore, the proposed scheme mitigates the influence of bad data by adaptively updating the noise variances and re-weighting the contributions of the most recent measurements for state estimation. Compared with other distributed techniques, our scheme via gossiping is more flexible and resilient in case of network reconfigurations and failures. We further prove that the power flow equations satisfy the sufficient condition for the GGN algorithm to converge to the desired solution. Simulations of the IEEE-118 system show that the proposed scheme estimates and tracks the global state robustly, and degrades gracefully when there are random failures and bad data.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638663
ICASSP
Keywords
Field
DocType
power system control,ieee-118 system,smart grid wide-area monitoring,state estimation,hybrid state estimation,newton method,distributed control,network gossiping,convergence,power system measurement,global state estimation,power flow equations,decentralized state estimation scheme,gossiping,tracking,ggn algorithm,smart power grids,network failures,robust collaborative state estimation,gossip-based gauss-newton algorithm,global state tracking,network reconfigurations,noise,power systems,mathematical model,vectors
Convergence (routing),Mathematical optimization,Power flow,Smart grid,Computer science,Gossip,Newton's method
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Xiao Li1222.56
Anna Scaglione22559225.41