2020IEEE Sensors JournalRequires access

Harmonic and Interharmonic Phasor Estimation Using Matrix Pencil Method for Phasor Measurement Units

Lakshan Bernard, Sunny Goondram, Behrooz Bahrani, Athanasios A. Pantelous, Reza Razzaghi

Open publisher page 49 citations

Abstract

This paper proposes a novel approach to estimate the fundamental frequency, harmonic and interharmonic phasors in power networks. The proposed method is based on the Matrix Pencil Method (MPM) and Principle Component Analysis (PCA). It estimates parameters of the Prony model that represents the measured signal under noisy conditions. The frequency decomposition feature of the MPM allows concurrent estimation of all frequency components (including all harmonics) of the signal without an additional computational cost. The performance of the proposed method is evaluated with respect to all the requirements defined in the IEEE Std. C37.118 for both M- and P-class phasor measurement units (PMUs). It is shown that the method is compliant with the operating conditions of both PMU classes and at the same time, is able to provide accurate harmonic phasor estimation.

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What this paper is about

This paper proposes a novel approach to estimate the fundamental frequency, harmonic and interharmonic phasors in power networks. The proposed method is based on the Matrix Pencil Method (MPM) and Principle Component Analysis (PCA). It estimates parameters of the Prony model that represents the measured signal under noisy conditions. The frequency decomposition feature of the MPM allows concurrent estimation of all frequency components (including all harmonics) of the signal without an additional computational cost. The performance of the proposed method is evaluated with respect to all the requirements defined in the IEEE Std. C37.118 for both M- and P-class phasor measurement units (PMUs). It is shown that the method is compliant with the operating conditions of both PMU classes and at the same time, is able to provide accurate harmonic phasor estimation.

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Available abstract

This paper proposes a novel approach to estimate the fundamental frequency, harmonic and interharmonic phasors in power networks. The proposed method is based on the Matrix Pencil Method (MPM) and Principle Component Analysis (PCA). It estimates parameters of the Prony model that represents the measured signal under noisy conditions. The frequency decomposition feature of the MPM allows concurrent estimation of all frequency components (including all harmonics) of the signal without an additional computational cost. The performance of the proposed method is evaluated with respect to all the requirements defined in the IEEE Std. C37.118 for both M- and P-class phasor measurement units (PMUs). It is shown that the method is compliant with the operating conditions of both PMU classes and at the same time, is able to provide accurate harmonic phasor estimation.

Key concepts: Phasor, Matrix pencil, Harmonics, Harmonic analysis, Phasor measurement unit, Electric power system, Harmonic, Electronic engineering

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