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Non-intrusive Methods for Mode Estimation in Power Systems using Synchrophasors
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (SmartTSLab)ORCID iD: 0000-0002-6044-4813
2016 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Real-time monitoring of electromechanical oscillations is of great significance for power system operators; to this aim, software solutions (algorithms) that use synchrophasor measurements have been developed for this purpose. This thesis investigates different approaches for improving mode estimation process by offering new methods and deepening the understanding of different stages in the mode estimation process.

One of the problems tackled in this thesis is the selection of synchrophasor signals used as the input for mode estimation. The proposed selection is performed using a quantitative criterion that is based on the variance of the critical mode estimate. The proposed criterion and associated selection method, offer a systematic and quantitative approach for PMU signal selection. The thesis also analyzes methods for model order selection used in mode estimation. Further, negative effects of forced oscillations and non-white noise load random changes on mode estimation results have been addressed by exploiting the intrinsic power system property that the characteristics of electromechanical modes are predominately determined by the power generation and transmission network.

An improved accuracy of the mode estimation process can be obtained by intentionally injecting a probing disturbance. The thesis presents an optimization method that finds the optimal spectrum of the probing signals. In addition, the probing signal with the optimal spectrum is generated considering arbitrary time domain signal constraints that can be imposed by various probing signal generating devices.

Finally, the thesis provides a comprehensive description of a practical implementation of a real-time mode estimation tool. This includes description of the hardware, software architecture, graphical user interface, as well as details of the most important components such as the Statnett’s SDK that allows easy access to synchrophasor data streams.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. , xiv, 166 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:07
Keyword [en]
Synchrophasors, Phasor measurement units, system identification, mode estimation, electromechanical oscillations, prediction error, signal selection, experiment design, probing
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-182134ISBN: 978-91-7595-853-8 (print)OAI: oai:DiVA.org:kth-182134DiVA: diva2:903639
Public defence
2016-03-15, F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Projects
FP7 iTesla
Funder
EU, FP7, Seventh Framework Programme
Note

The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively.

QC 20160218

Available from: 2016-02-18 Created: 2016-02-16 Last updated: 2016-02-19Bibliographically approved

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