Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
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-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/7/1811 |
| _version_ | 1811183980086558720 |
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| author | Bo-kyu Kwon Soohee Han Kwang Y. Lee |
| author_facet | Bo-kyu Kwon Soohee Han Kwang Y. Lee |
| author_sort | Bo-kyu Kwon |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:05:44Z |
| format | Article |
| id | doaj.art-2fb63f7f8cf14ca59a496381b8e50a0f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:05:44Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2fb63f7f8cf14ca59a496381b8e50a0f2022-12-22T04:22:45ZengMDPI AGEnergies1996-10732018-07-01117181110.3390/en11071811en11071811Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response FilterBo-kyu Kwon0Soohee Han1Kwang Y. Lee2Department of Control and Instrumentation Engineering, Kangwon National University, Gangwon-do 24341, KoreaDepartment of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, KoreaDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USAIn 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.http://www.mdpi.com/1996-1073/11/7/1811robust harmonics estimationpower system harmonicsoptimal FIR filterpower conditioning systemtotal harmonic distortions |
| spellingShingle | Bo-kyu Kwon Soohee Han Kwang Y. Lee Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter Energies robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions |
| title | Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter |
| title_full | Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter |
| title_fullStr | Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter |
| title_full_unstemmed | Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter |
| title_short | Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter |
| title_sort | robust estimation and tracking of power system harmonics using an optimal finite impulse response filter |
| topic | robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions |
| url | http://www.mdpi.com/1996-1073/11/7/1811 |
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