Research Article

Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation

Volume: 42 Number: 1 March 10, 2026
TR EN

Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation

Abstract

In this study, a test signal proposed in the literature for amplitude and phase estimation of harmonics in power systems is utilized. The test signal is applied to the proposed Kalman-based approach under noise conditions of 10 dB, 20 dB, and 40 dB. Performance is evaluated by comparing the obtained estimation results with those reported in the literature. For 10 dB Gaussian noise, the mean squared error (MSE) was 0.006649, and the normalized mean squared error (NMSE) was 0.014542; for 20 dB Gaussian noise, the MSE was 0.000613, and the NMSE was 0.001340; and for 40 dB Gaussian noise, the MSE was 0.000004, and the NMSE was 0.000009. The average computational time across all three cases is 0.06 seconds. For each noise level, the original, noisy, and estimated signals are analyzed in both the time and frequency domains, with visual assessments consistent with the numerical results.

Keywords

Supporting Institution

No funding.

Ethical Statement

No ethical declaration is required for the study.

Thanks

The author would like to thank the referees for their constructive comments that contributed to the improvement of the article, as well as the editorial board for their dedicated support throughout the publication process.

References

  1. Chen, C. I., & Chen, Y. C. 2014. Comparative study of harmonic and interharmonic estimation methods for stationary and time-varying signals. IEEE Transactions on Industrial Electronics, 61(1), 397–404. https://doi.org/10.1109/TIE.2013.2242419.
  2. Ortmeyer, T. H., Chakravarthi, K. R., & Mahmoud, A. A. (1985). The effects of power system harmonics on power system equipment and loads. IEEE Transactions on Power Apparatus and Systems, 104(9), 2555–2563. https://doi.org/10.1109/TPAS.1985.319019.
  3. Arranz-Gimon, A., Zorita-Lamadrid, A., Morinigo-Sotelo, D., & Duque-Perez, O. 2021. A review of total harmonic distortion factors for the measurement of harmonic and interharmonic pollution in modern power systems. Energies, 14(20), 6467. https://doi.org/10.3390/en14206467.
  4. Kumar, D., & Zare, F. 2016. Harmonic analysis of grid connected power electronic systems in low voltage distribution networks. IEEE Journal of Emerging and Selected Topics in Power Electronics, 4(1), 70–79. https://doi.org/10.1109/JESTPE.2015.2454537.
  5. Singh, G. K. 2009. Power system harmonics research: A survey. European Transactions on Electrical Power, 19, 151–172. https://doi.org/10.1002/etep.201.
  6. IEEE. 2014. IEEE recommended practice and requirements for harmonic control in electric power system (IEEE Std 519-2014) (Revision of IEEE Std 519-1992). IEEE, 1-29.
  7. Singh, S. K., Sinha, N., Goswami, A. K., & Sinha, N. 2016. Several variants of Kalman filter algorithm for power system harmonic estimation. International Journal of Electrical Power & Energy Systems, 78, 793–800. https://doi.org/10.1016/j.ijepes.2015.12.028.
  8. Kabalci, Y., Kockanat, S., & Kabalci, E. 2018. A modified ABC algorithm approach for power system harmonic estimation problems. Electric Power Systems Research, 154, 160–173. https://doi.org/10.1016/j.epsr.2017.08.019.

Details

Primary Language

English

Subjects

Electrical Circuits and Systems

Journal Section

Research Article

Publication Date

March 10, 2026

Submission Date

December 5, 2025

Acceptance Date

January 21, 2026

Published in Issue

Year 2026 Volume: 42 Number: 1

APA
Koçkanat, S. (2026). Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 42(1). https://doi.org/10.65520/erciyesfen.1836331
AMA
1.Koçkanat S. Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2026;42(1). doi:10.65520/erciyesfen.1836331
Chicago
Koçkanat, Serdar. 2026. “Harmonic Estimation in Power Systems With Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 42 (1). https://doi.org/10.65520/erciyesfen.1836331.
EndNote
Koçkanat S (March 1, 2026) Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 42 1
IEEE
[1]S. Koçkanat, “Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation”, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, vol. 42, no. 1, Mar. 2026, doi: 10.65520/erciyesfen.1836331.
ISNAD
Koçkanat, Serdar. “Harmonic Estimation in Power Systems With Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 42/1 (March 1, 2026). https://doi.org/10.65520/erciyesfen.1836331.
JAMA
1.Koçkanat S. Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2026;42. doi:10.65520/erciyesfen.1836331.
MLA
Koçkanat, Serdar. “Harmonic Estimation in Power Systems With Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, vol. 42, no. 1, Mar. 2026, doi:10.65520/erciyesfen.1836331.
Vancouver
1.Serdar Koçkanat. Harmonic Estimation in Power Systems with Kalman Filters under Varying Noise Conditions: Performance Analysis and Evaluation. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2026 Mar. 1;42(1). doi:10.65520/erciyesfen.1836331

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