Article, 2019

Robust estimation of voltage harmonics in a single‐phase system

IET Science Measurement & Technology, ISSN 1751-8830, 1751-8822, Volume 13, 5, Pages 662-670, 10.1049/iet-smt.2018.5323

Contributors

Reza, S M Shamim (Corresponding author) [1] Ciobotaru, Mihai 0000-0003-1165-1696 [2] Hossain, M Maruf 0000-0001-5871-0193 [3] Agelidis, Vassilios Georgios 0000-0002-8864-4016 [4]

Affiliations

  1. [1] Bangladesh University of Engineering and Technology
  2. [NORA names: Bangladesh; Asia, South];
  3. [2] Macquarie University
  4. [NORA names: Australia; Oceania; OECD];
  5. [3] University of Wisconsin–Green Bay
  6. [NORA names: United States; America, North; OECD];
  7. [4] Technical University of Denmark
  8. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

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.

Keywords

EKF, FLL, Fourier transform, Kalman filter, ability, action, adaptation techniques, adaptive ability, case study, complex, computational efficiency, conditions, convergence, derivative action, discrete Fourier transform, dynamic response, effect, efficiency, estimation, excellent convergence, experimental case study, filter, frequency, frequency conditions, frequency variation, harmonics, improved estimates, linear KF, linear Kalman filter, linearity, low complexity, non-linear, off-nominal frequency conditions, response, robust estimation, robustness, single-phase system, state, steady-state estimation, study, system, technique, transformation, tuning, variable frequency conditions, variation, voltage harmonics

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