Phasor Estimation and Power Measurement in the Context of Dynamic RMS Simulation Model Validation

There are numerous applications for the transformationof three-phase signals into RMS or phasor values inelectric power systems. Examples are phase angle monitoringor the validation of dynamic RMS simulation models, with thelatter being the primary focus of this work. Several methodsfor this transformation based on signal definitions of RMSvalues as well as active and reactive power found in literatureand guidelines are reviewed. The methods incorporate phasorestimation, Fourier transformation, Kalman filter and phaselockedloops for enhanced accuracy during frequency deviations.Benchmark tests are defined to compare the results of thetransformation to the outcome of RMS simulations. Methodsbased on digital Fourier transform perform best on average,although no method outperforms the others in all scenarios.

Publication Details

Journal
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Published
2025-01-01
DOI
https://doi.org/10.13140/rg.2.2.28475.32807
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
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article

Phasor Estimation and Power Measurement in the Context of Dynamic RMS Simulation Model Validation

Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Wheat and Barley Genetics and Pathology
article

Phasor Estimation and Power Measurement in the Context of Dynamic RMS Simulation Model Validation

article en

Abstract

There are numerous applications for the transformationof three-phase signals into RMS or phasor values inelectric power systems. Examples are phase angle monitoringor the validation of dynamic RMS simulation models, with thelatter being the primary focus of this work. Several methodsfor this transformation based on signal definitions of RMSvalues as well as active and reactive power found in literatureand guidelines are reviewed. The methods incorporate phasorestimation, Fourier transformation, Kalman filter and phaselockedloops for enhanced accuracy during frequency deviations.Benchmark tests are defined to compare the results of thetransformation to the outcome of RMS simulations. Methodsbased on digital Fourier transform perform best on average,although no method outperforms the others in all scenarios.

Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Openalex Percentile: Top 37%
Wheat and Barley Genetics and Pathology
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