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A method for extracting steady state components from syncrophasor data using Kalman filters
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-6090-1674
KTH, School of Electrical Engineering (EES), Electric Power Systems. Statnett SF, Norway.ORCID iD: 0000-0002-4125-1055
2015 (English)In: 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings, IEEE , 2015, 1498-1503 p.Conference paper, Published paper (Refereed)
Abstract [en]

Data from Phasor Measurement Units (PMUs) may be exploited to provide steady state information to the applications which require it. Raw PMU data is polluted with noise and cannot be directly fed to applications without adequate processing. This paper presents a method to extract steady state components from Syncrophasor data using Kalman Filters (KF). This method is capable of reducing the noise, to compensate for missing data and filtering of outliers in signals. The Residue in each KF iteration is computed. The measurement noise covariance matrix R is calculated by computing the variance of residue using rolling windows. The performance of presented method is evaluated by using PMU data generated from a Hardware-In-the-Loop (HIL) experimental setup.

Place, publisher, year, edition, pages
IEEE , 2015. 1498-1503 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-175857DOI: 10.1109/EEEIC.2015.7165393ISI: 000366654400254Scopus ID: 2-s2.0-84943162494ISBN: 978-147997993-6 (print)OAI: oai:DiVA.org:kth-175857DiVA: diva2:862714
Conference
15th IEEE International Conference on Environment and Electrical Engineering (EEEIC)
Funder
StandUp
Note

QC 20151023

Available from: 2015-10-23 Created: 2015-10-23 Last updated: 2016-06-15Bibliographically approved

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CiteExportLink to record
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