Model-Agnostic Linear Estimation of Generator Rotor Speeds based on Phasor Measurement Units

Files in This Item:
File Description SizeFormat 
freqest_final.pdfAccepted version737.13 kBAdobe PDFDownload
Title: Model-Agnostic Linear Estimation of Generator Rotor Speeds based on Phasor Measurement Units
Authors: Milano, Federico
Ortega, Alvaro
Conejo, Antonio J.
Permanent link:
Date: 13-Jun-2018
Online since: 2019-04-18T07:23:14Z
Abstract: The paper focuses on the estimation of the rotor speeds of synchronous machines by means of phasor measurement units. This estimation is aimed at on-line monitoring of electro-mechanical transients and transient stability analysis. The proposed technique is based on the concept of frequency divider formula recently published by the first two authors in these Transactions. The dynamic state estimation is formally stated as a convex optimization problem and a thorough discussion of the sensitivity analysis of the optimal solution is provided. The case study considers a dynamic 1,479-bus model of the all-island Irish system and discusses the effect of bad data, noise and latency on the proposed estimation technique.
Funding Details: European Commission
Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Power Systems
Volume: 33
Issue: 6
Start page: 7258
End page: 7268
Copyright (published version): 2018 IEEE
Keywords: Dynamic state estimation (DSE)OptimizationPhasor measurement unit (PMU)Sensitivity analysisSynchronous machineTransient stability analysis
DOI: 10.1109/TPWRS.2018.2846737
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

Show full item record

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.