Phasor Estimation for Grid Power Monitoring: Least Square vs. Linear Kalman Filter

Yassine Amirat; Zakarya Oubrahim; Hafiz Ahmed; Mohamed Benbouzid; Tianzhen Wang

doi:10.3390/en13102456

Phasor Estimation for Grid Power Monitoring: Least Square vs. Linear Kalman Filter

Yassine Amirat, Zakarya Oubrahim, Hafiz Ahmed, Mohamed Benbouzid, Tianzhen Wang

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

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Abstract

This paper deals with a comparative study of two phasor estimators based on the least square (LS) and the linear Kalman filter (KF) methods, while assuming that the fundamental frequency is unknown. To solve this issue, the maximum likelihood technique is used with an iterative Newton–Raphson-based algorithm that allows minimizing the likelihood function. Both least square (LSE) and Kalman filter estimators (KFE) are evaluated using simulated and real power system events data. The obtained results clearly show that the LS-based technique yields the highest statistical performance and has a lower computation complexity

Original language	English
Article number	2456
Number of pages	15
Journal	Energies
Volume	13
Issue number	10
DOIs	https://doi.org/10.3390/en13102456
Publication status	Published - 13 May 2020

Bibliographical note

c 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords

IEEE standard C37.118
Kalman filter estimation (KFE)
Least square estimation (LSE)
Phasor and frequency estimation
Phasor measurement units
Power quality monitoring

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/en13102456Licence: CC BY

PublishedFinal published version, 1.01 MBLicence: CC BY

Cite this

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AU - Benbouzid, Mohamed

AU - Wang, Tianzhen

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Phasor Estimation for Grid Power Monitoring: Least Square vs. Linear Kalman Filter

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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