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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE journal on selected areas in communications Ročník 31; číslo 7; s. 1184 - 1194
Hlavní autori:	Xiao Li, Scaglione, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!