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Single-cycle P Class phasor estimation based on harmonics whitening and off-nominal frequency offset adjustment.

Authors :
Macii, David
Bashian, Amir
Shan, Xuansheng
Fontanelli, Daniele
Wen, He
Petri, Dario
Source :
Electric Power Systems Research. Apr2024, Vol. 229, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• High estimation accuracy over short data records through two-step harmonics whitening. • Compliant with the requirements of the IEEE/IEC Std. 60,255–118–1–2018 for P class PMUs. • Higher harmonics rejection than other techniques over one-cycle-long intervals. • High performance confirmed experimentally using different kinds of real data sets. Phasor Measurement Units (PMUs) are essential for real-time power system monitoring and control. In this paper, a novel algorithm for protection (i.e., P Class) PMUs is presented. The proposed algorithm consists of four steps: preliminary narrowband disturbance whitening; estimation of the off-nominal fundamental frequency offset through the Interpolated Discrete Time Fourier Transform (IpDFT); data record length adjustment to refine narrowband disturbance whitening over an integer number of fundamental periods; time-domain estimation of the Taylor's series coefficients of the synchrophasor function through a weighted least-squares estimator (after correction of possible static off-nominal deviations). The key novel contribution of the proposed approach is its superior ability to smooth harmonic disturbances over shorter observation intervals than many existing algorithms (which typically require at least two-cycle-long data records to meet P Class accuracy requirements), while ensuring a good tracking capability of transient events with a reasonable execution time. Several simulation and experimental results confirm that, in the case of multi-harmonic distortion, the proposed approach returns more accurate results than both the basic Taylor-series-based Weighted Least-Squares (TWLS) estimator and other whitening-based techniques, while ensuring compliance with P Class specifications even over one-cycle-long data records. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787796
Volume :
229
Database :
Academic Search Index
Journal :
Electric Power Systems Research
Publication Type :
Academic Journal
Accession number :
175412591
Full Text :
https://doi.org/10.1016/j.epsr.2024.110119