DocumentCode :
676242
Title :
Improved parameter estimation under non-stationary circumstances using segmentation and back projection
Author :
Lechtenberg, Matthias ; Gorner, K. ; Gotze, Joachim ; Rehtanz, Christian
Author_Institution :
Inf. Process. Lab., Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2013
fDate :
25-27 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Common phasor measurement units (PMUs) comply with IEEE Standard C37.118 and are capable of managing the test cases formulated inside. These mainly describe electro-mechanic processes (besides step tests). However, electromagnetic processes are not considered, but filtered out. Using subspace-based estimation algorithms provides knowledge of electro-magnetic components within the measurement signal. In addition, the system frequency can be isolated easily. The challenge of (sliding-) window-based algorithms - subspace-based as well as DFT-based methods - is a) finding a trade-off between accuracy and delay (i.e. window length) and b) the inherent assumption of (quasi-) stationarity. In this paper, the concepts of segmentation and back projection are presented which counter these challenges under the assumption of time-critical, time-stamped measurements but not time-critical delivery.
Keywords :
IEEE standards; discrete Fourier transforms; electromechanical effects; phasor measurement; power system parameter estimation; DFT-based method; IEEE standard C37.118; back projection; electromagnetic components; electromechanic process; measurement signal; phasor measurement units; power system parameter estimation; segmentation; sliding window-based algorithm; subspace-based estimation algorithm; time stamped measurement; Amplitude estimation; Delays; Estimation; Frequency estimation; Transient analysis; Vectors; Back Projection; ESPRIT; OPAST; Parameter Estimation; Power System Measurement; Segmentation; Transient Processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Instrumentation, Measurement and Applications (ICSIMA), 2013 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-0842-4
Type :
conf
DOI :
10.1109/ICSIMA.2013.6717935
Filename :
6717935
Link To Document :
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