Robust estimation of voltage harmonics in a single-phase system

Md Shamim Reza*, Mihai Ciobotaru, Md Maruf Hossain, Vassilios G. Agelidis

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A frequency adaptive technique relying on a linear Kalman filter (KF) is presented here for robust estimation of voltage harmonics under variable frequency conditions in a single-phase system. A relatively simple frequency-locked loop (FLL) is combined with the linear KF (LKF-FLL) to achieve frequency adaptive ability and avoid the use of a non-linear KF. In contrast to the non-linear extended KF (EKF), the LKF-FLL technique has several advantages such as robustness, linearity, simple tuning, having fewer states, requiring no derivative actions, while offering low complexity, excellent convergence, and computational efficiency. When compared to the non-linear extended real KF, it can generate a faster dynamic response and more accurate steady-state estimation of the harmonics under frequency variations. It can also provide an improved estimation for off-nominal frequency conditions when compared to the discrete Fourier transform (DFT) method. The effectiveness of the technique is verified by various simulated and real-time experimental case studies.

Original languageEnglish
JournalIET Science, Measurement and Technology
Volume13
Issue number5
Pages (from-to)662-670
ISSN1751-8822
DOIs
Publication statusPublished - 1 Jul 2019

Cite this

Shamim Reza, Md ; Ciobotaru, Mihai ; Maruf Hossain, Md ; Agelidis, Vassilios G. / Robust estimation of voltage harmonics in a single-phase system. In: IET Science, Measurement and Technology. 2019 ; Vol. 13, No. 5. pp. 662-670.
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title = "Robust estimation of voltage harmonics in a single-phase system",
abstract = "A frequency adaptive technique relying on a linear Kalman filter (KF) is presented here for robust estimation of voltage harmonics under variable frequency conditions in a single-phase system. A relatively simple frequency-locked loop (FLL) is combined with the linear KF (LKF-FLL) to achieve frequency adaptive ability and avoid the use of a non-linear KF. In contrast to the non-linear extended KF (EKF), the LKF-FLL technique has several advantages such as robustness, linearity, simple tuning, having fewer states, requiring no derivative actions, while offering low complexity, excellent convergence, and computational efficiency. When compared to the non-linear extended real KF, it can generate a faster dynamic response and more accurate steady-state estimation of the harmonics under frequency variations. It can also provide an improved estimation for off-nominal frequency conditions when compared to the discrete Fourier transform (DFT) method. The effectiveness of the technique is verified by various simulated and real-time experimental case studies.",
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Robust estimation of voltage harmonics in a single-phase system. / Shamim Reza, Md; Ciobotaru, Mihai; Maruf Hossain, Md; Agelidis, Vassilios G.

In: IET Science, Measurement and Technology, Vol. 13, No. 5, 01.07.2019, p. 662-670.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Robust estimation of voltage harmonics in a single-phase system

AU - Shamim Reza, Md

AU - Ciobotaru, Mihai

AU - Maruf Hossain, Md

AU - Agelidis, Vassilios G.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - A frequency adaptive technique relying on a linear Kalman filter (KF) is presented here for robust estimation of voltage harmonics under variable frequency conditions in a single-phase system. A relatively simple frequency-locked loop (FLL) is combined with the linear KF (LKF-FLL) to achieve frequency adaptive ability and avoid the use of a non-linear KF. In contrast to the non-linear extended KF (EKF), the LKF-FLL technique has several advantages such as robustness, linearity, simple tuning, having fewer states, requiring no derivative actions, while offering low complexity, excellent convergence, and computational efficiency. When compared to the non-linear extended real KF, it can generate a faster dynamic response and more accurate steady-state estimation of the harmonics under frequency variations. It can also provide an improved estimation for off-nominal frequency conditions when compared to the discrete Fourier transform (DFT) method. The effectiveness of the technique is verified by various simulated and real-time experimental case studies.

AB - A frequency adaptive technique relying on a linear Kalman filter (KF) is presented here for robust estimation of voltage harmonics under variable frequency conditions in a single-phase system. A relatively simple frequency-locked loop (FLL) is combined with the linear KF (LKF-FLL) to achieve frequency adaptive ability and avoid the use of a non-linear KF. In contrast to the non-linear extended KF (EKF), the LKF-FLL technique has several advantages such as robustness, linearity, simple tuning, having fewer states, requiring no derivative actions, while offering low complexity, excellent convergence, and computational efficiency. When compared to the non-linear extended real KF, it can generate a faster dynamic response and more accurate steady-state estimation of the harmonics under frequency variations. It can also provide an improved estimation for off-nominal frequency conditions when compared to the discrete Fourier transform (DFT) method. The effectiveness of the technique is verified by various simulated and real-time experimental case studies.

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