Robust Decentralized State Estimation and Tracking for Power Systems via Network Gossiping

This paper proposes a fully decentralized adaptive re-weighted state estimation (DARSE) scheme for power systems via network gossiping. The enabling technique is the proposed Gossip-based Gauss-Newton (GGN) algorithm, which allows to harness the computation capability of each area (i.e. a database s...

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Bibliographic Details
Published in:	IEEE journal on selected areas in communications Vol. 31; no. 7; pp. 1184 - 1194
Main Authors:	Xiao Li, Scaglione, A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms convergence Decentralized Failure gossiping Hybrid state estimation Mathematical models Maximum likelihood estimation Networks On-line systems Online Operations research Phasor measurement units Power measurement Power systems State estimation Studies Transmission line measurements Voltage measurement
ISSN:	0733-8716, 1558-0008
Online Access:	Get full text
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