Next Article in Journal
Optimal Charging Strategy Based on Model Predictive Control in Electric Vehicle Parking Lots Considering Voltage Stability
Previous Article in Journal
Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Energies 2018, 11(7), 1811; https://doi.org/10.3390/en11071811

Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

1
Department of Control and Instrumentation Engineering, Kangwon National University, Gangwon-do 24341, Korea
2
Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Korea
3
Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Current address: Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Korea.
*
Author to whom correspondence should be addressed.
Received: 30 May 2018 / Revised: 20 June 2018 / Accepted: 9 July 2018 / Published: 11 July 2018
Full-Text   |   PDF [727 KB, uploaded 13 July 2018]   |  

Abstract

In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. View Full-Text
Keywords: robust harmonics estimation; power system harmonics; optimal FIR filter; power conditioning system; total harmonic distortions robust harmonics estimation; power system harmonics; optimal FIR filter; power conditioning system; total harmonic distortions
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kwon, B.-K.; Han, S.; Lee, K.Y. Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter. Energies 2018, 11, 1811.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top