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Extracting Steady State Components from Synchrophasor Data Using Kalman Filters
KTH, School of Electrical Engineering (EES), Electric power and energy systems. KTH The Royal Institute of Technology. (SmarTSLab)ORCID iD: 0000-0003-3488-533X
KTH, School of Electrical Engineering (EES), Electric power and energy systems. KTH The Royal Institute of Technology. (SmarTSLab)ORCID iD: 0000-0002-6090-1674
KTH, School of Electrical Engineering (EES), Electric power and energy systems. KTH The Royal Institute of Technology. (SmarTSLab)ORCID iD: 0000-0002-4125-1055
2016 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 9Article in journal (Refereed) Published
Abstract [en]

Data from phasor measurement units (PMUs) may be exploited to provide steady state information to the applications which require it. As PMU measurements may contain errors and missing data, the paper presents the application of a Kalman Filter technique for real-time data processing. PMU data captures the power system’s response at different time-scales, which are generated by different types of power system events; the presented Kalman Filter methods have been applied to extract the steady state components of PMU measurements that can be fed to steady state applications. Two KF-based methods have been proposed, i.e., a windowing-based KF method and “the modified KF”. Both methods are capable of reducing noise, compensating for missing data and filtering outliers from input PMU signals. A comparison of proposed methods has been carried out using the PMU data generated from a hardware-in-the-loop (HIL) experimental setup. In addition, a performance analysis of the proposed methods is performed using an evaluation metric.

Place, publisher, year, edition, pages
MDPI , 2016. Vol. 9
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-187470DOI: 10.3390/en9050315ISI: 000377263400007OAI: oai:DiVA.org:kth-187470DiVA: diva2:930445
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20160615

Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2017-11-30Bibliographically approved

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Publisher's full texthttp://www.mdpi.com/1996-1073/9/5/315

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Mahmood, FarhanHooshyar, HosseinVanfretti, Luigi

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