Decentralized Dynamic State Estimation in Power Systems Using Unscented Transformation
File(s)
Author(s)
Singh, A
Pal, BC
Type
Journal Article
Abstract
This paper proposes a decentralized algorithm for real-time estimation of the dynamic states of a power system. The scheme employs phasor measurement units (PMUs) for the measurement of local signals at each generation unit, and subsequent state estimation using unscented Kalman filtering (UKF). The novelty of the scheme is that the state estimation at one generation unit is independent from the estimation at other units, and therefore the transmission of remote signals to a central estimator is not required. This in turn reduces the complexity of each distributed estimator, and makes the estimation process highly efficient, accurate and easily implementable. The applicability of the proposed algorithm has been thoroughly demonstrated on a representative model.
Date Issued
2014-02-14
Citation
IEEE Transactions on Power Systems, 2014, 29 (2), pp.794-804
ISSN
0885-8950
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
794
End Page
804
Journal / Book Title
IEEE Transactions on Power Systems
Volume
29
Issue
2
Copyright Statement
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cations/rights/index.html for more information. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
See http://www.ieee.org/publications_standards/publi
cations/rights/index.html for more information. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Description
04/02/15 meb. Accepted version, Ok to add.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000331978000028&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Publication Status
Published
Coverage Spatial
USA