Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters

Md. Shamim Reza; Mihai Ciobotaru; Vassilios G. Agelidis

doi:10.1109/PowerCon.2012.6401446

Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters

Md. Shamim Reza, Mihai Ciobotaru, Vassilios G. Agelidis

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

11 Citations (Scopus)

Abstract

This paper presents a comparative analysis of three different quadrature signal generators such as the frequency locked loop (FLL) based linear Kalman filter (LKF) (LKF-FLL), the second order generalized integrator (SOGI) and FLL based quadrature signal generator (QSG) (SOGI-FLL) and the extended Kalman filter (EKF). In the LKF-FLL technique, the FLL is integrated with the LKF, where the LKF tracks the orthogonal waveforms of the gird voltage fundamental component based on the fundamental frequency estimated by the FLL. The LKF-FLL technique provides better steady state results and also takes smaller convergence time during the transients as compared to the SOGI-FLL and the EKF techniques. Moreover, the LKF-FLL technique is less complex than the EKF. Synthetically generated grid voltage waveforms are used in MATLAB/Simulink to depict the superior performance of the LKF-FLL technique.

Original language	English
Title of host publication	2012 IEEE International Conference on Power System Technology (POWERCON)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781467328685
ISBN (Print)	9781467328685
DOIs	https://doi.org/10.1109/PowerCon.2012.6401446
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Power System Technology (POWERCON 2012) - Auckland, New Zealand Duration: 30 Oct 2012 → 2 Nov 2012

Other

Other	2012 IEEE International Conference on Power System Technology (POWERCON 2012)
Country/Territory	New Zealand
City	Auckland
Period	30/10/12 → 2/11/12

Keywords

Extended Kalman filter (EKF)
frequency locked loop (FLL)
linear Kalman filter (LKF
second order generalized integrator (SOGI

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10.1109/PowerCon.2012.6401446

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873324622&doi=10.1109%2fPowerCon.2012.6401446&partnerID=40&md5=b7408c0867774649dc1b6517be1fdc9f

Cite this

@inproceedings{0c49aa8daffb44ac963ea7e96a3e0439,

title = "Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters",

abstract = "This paper presents a comparative analysis of three different quadrature signal generators such as the frequency locked loop (FLL) based linear Kalman filter (LKF) (LKF-FLL), the second order generalized integrator (SOGI) and FLL based quadrature signal generator (QSG) (SOGI-FLL) and the extended Kalman filter (EKF). In the LKF-FLL technique, the FLL is integrated with the LKF, where the LKF tracks the orthogonal waveforms of the gird voltage fundamental component based on the fundamental frequency estimated by the FLL. The LKF-FLL technique provides better steady state results and also takes smaller convergence time during the transients as compared to the SOGI-FLL and the EKF techniques. Moreover, the LKF-FLL technique is less complex than the EKF. Synthetically generated grid voltage waveforms are used in MATLAB/Simulink to depict the superior performance of the LKF-FLL technique.",

keywords = "Extended Kalman filter (EKF), frequency locked loop (FLL), linear Kalman filter (LKF, second order generalized integrator (SOGI",

author = "Reza, {Md. Shamim} and Mihai Ciobotaru and Agelidis, {Vassilios G.}",

year = "2012",

doi = "10.1109/PowerCon.2012.6401446",

language = "English",

isbn = "9781467328685",

booktitle = "2012 IEEE International Conference on Power System Technology (POWERCON)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 IEEE International Conference on Power System Technology (POWERCON 2012) ; Conference date: 30-10-2012 Through 02-11-2012",

}

Reza, MS, Ciobotaru, M & Agelidis, VG 2012, Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters. in 2012 IEEE International Conference on Power System Technology (POWERCON). Institute of Electrical and Electronics Engineers (IEEE), 2012 IEEE International Conference on Power System Technology (POWERCON 2012), Auckland, New Zealand, 30/10/12. https://doi.org/10.1109/PowerCon.2012.6401446

Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters. / Reza, Md. Shamim; Ciobotaru, Mihai; Agelidis, Vassilios G.
2012 IEEE International Conference on Power System Technology (POWERCON). Institute of Electrical and Electronics Engineers (IEEE), 2012.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters

AU - Reza, Md. Shamim

AU - Ciobotaru, Mihai

AU - Agelidis, Vassilios G.

PY - 2012

Y1 - 2012

N2 - This paper presents a comparative analysis of three different quadrature signal generators such as the frequency locked loop (FLL) based linear Kalman filter (LKF) (LKF-FLL), the second order generalized integrator (SOGI) and FLL based quadrature signal generator (QSG) (SOGI-FLL) and the extended Kalman filter (EKF). In the LKF-FLL technique, the FLL is integrated with the LKF, where the LKF tracks the orthogonal waveforms of the gird voltage fundamental component based on the fundamental frequency estimated by the FLL. The LKF-FLL technique provides better steady state results and also takes smaller convergence time during the transients as compared to the SOGI-FLL and the EKF techniques. Moreover, the LKF-FLL technique is less complex than the EKF. Synthetically generated grid voltage waveforms are used in MATLAB/Simulink to depict the superior performance of the LKF-FLL technique.

AB - This paper presents a comparative analysis of three different quadrature signal generators such as the frequency locked loop (FLL) based linear Kalman filter (LKF) (LKF-FLL), the second order generalized integrator (SOGI) and FLL based quadrature signal generator (QSG) (SOGI-FLL) and the extended Kalman filter (EKF). In the LKF-FLL technique, the FLL is integrated with the LKF, where the LKF tracks the orthogonal waveforms of the gird voltage fundamental component based on the fundamental frequency estimated by the FLL. The LKF-FLL technique provides better steady state results and also takes smaller convergence time during the transients as compared to the SOGI-FLL and the EKF techniques. Moreover, the LKF-FLL technique is less complex than the EKF. Synthetically generated grid voltage waveforms are used in MATLAB/Simulink to depict the superior performance of the LKF-FLL technique.

KW - Extended Kalman filter (EKF)

KW - frequency locked loop (FLL)

KW - linear Kalman filter (LKF

KW - second order generalized integrator (SOGI

U2 - 10.1109/PowerCon.2012.6401446

DO - 10.1109/PowerCon.2012.6401446

M3 - Conference proceeding contribution

SN - 9781467328685

BT - 2012 IEEE International Conference on Power System Technology (POWERCON)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2012 IEEE International Conference on Power System Technology (POWERCON 2012)

Y2 - 30 October 2012 through 2 November 2012

ER -

Frequency adaptive linear Kalman filter for fast and accurate estimation of grid voltage parameters

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