DocumentCode
616898
Title
Design criteria of digital filters for synchrophasor estimation
Author
Macii, D. ; Barchi, G. ; Petri, Dario
Author_Institution
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
fYear
2013
fDate
6-9 May 2013
Firstpage
1579
Lastpage
1584
Abstract
In the near future electrical waveforms in power networks are expected to exhibit strong amplitude and phase fluctuations caused by dynamic network topology changes and variable energy flows between loads and generators. Such fluctuations need to be constantly and accurately monitored both to optimize energy distribution and for safety and protection reasons. Nowadays, this task is typically accomplished by the so called Phasor Measurement Units (PMU), which measure the phasor of voltage and current waveforms on a common timescale synchronized to the Coordinated Universal Time (UTC). One of the most typical techniques for phasor estimation is based on digital down-conversion and filtering. This approach, although not explicitly recommended, is described in Annex C of Standard IEEE C37.118.1-2011, namely one of the main reference document for synchrophasor measurement in power systems. The same standard also reports two possible examples of filters for P-class and M-class phasor estimation. However, no specific filter design methods are provided. In this paper some guidelines for filter design are proposed on the basis of a model describing the behavior of a power waveform in both static and dynamic conditions. The reported design criteria are supported by some simulation results.
Keywords
digital filters; phasor measurement; power filters; IEEE C37.118.1-2011standard annex C; M-class phasor estimation; P-class phasor estimation; design criteria; digital down-conversion; digital filter; electrical waveforms; filter design method; phasor measurement units; power network; synchrophasor estimation; synchrophasor measurement; Estimation; Finite impulse response filters; Fluctuations; Frequency modulation; Harmonic analysis; Power harmonic filters; Standards; Synchrophasor estimation; digital filtering; power system monitoring; signal processing; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location
Minneapolis, MN
ISSN
1091-5281
Print_ISBN
978-1-4673-4621-4
Type
conf
DOI
10.1109/I2MTC.2013.6555680
Filename
6555680
Link To Document