Interharmonics analysis of power signals with fundamental frequency deviation using Kalman filtering

Date

2010-09-01

Author

Köse, Neslihan
Salor, Oezguel
Leblebicioğlu, Mehmet Kemal

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

304
views

0
downloads

In this paper a spectral decomposition-based method for interharmonic computation is proposed for power systems where the fundamental frequency fluctuates significantly. In the proposed method, the frequency domain components of the voltage waveform are obtained by Kalman filtering. Both the system fundamental frequency and the correct spectrum of the voltage waveform, and hence the exact interharrnonics are obtained. The proposed method is tested with both simulated and field data obtained from different electric arc furnace (EAF) plants, where the system frequency deviates continuously due to the fluctuating load demands. Since the interharmonic frequencies are obtained by using Kalman filtering, no leakage effect of the OFT-based methods is involved in case of frequency deviations, which is an important advantage of the proposed method.

Subject Keywords

Electric arc furnace (EAF), Power quality (PQ), Kalman filter (KF), Frequency deviation, Interharmonics, Harmonics

URI

https://hdl.handle.net/11511/32972

Journal

ELECTRIC POWER SYSTEMS RESEARCH

DOI

https://doi.org/10.1016/j.epsr.2010.03.006

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Real-Time Detection of Interharmonics and Harmonics of AC Electric Arc Furnaces on GPU Framework Uz-Logoglu, Eda; Salor, Ozgul; Ermiş, Muammer (2019-11-01) In this paper, a method based on the multiple synchronous reference frame analysis is recommended and implemented to detect time-varying harmonics and interharmonics of rapidly fluctuating asymmetrical industrial loads. The experimental work has been carried out on a typical three-phase alternating current arc furnace installation. In the recommended method, the reference frame is rotated in both directions at speeds corresponding to the positive and negative sequences of all harmonics and all interharmonic...
Real-Time Detection of Interharmonics and Harmonics of AC Electric Arc Furnaces on GPU Framework Uz-Logoglu, Eda; Salor, Ozgul; Ermiş, Muammer (2017-10-05) In this paper, a method based on the multiple synchronous reference frame (MSRF) analysis is recommended and implemented to detect time-varying harmonics and interharmonics of rapidly fluctuating asymmetrical industrial loads. The experimental work has been carried out on a typical three-phase alternating current arc furnace (AC EAF) installation. In the recommended method, the reference frame is rotated in both directions at speeds corresponding to the positive and negative sequences of all harmonics and a...
Online Characterization of Interharmonics and Harmonics of AC Electric Arc Furnaces by Multiple Synchronous Reference Frame Analysis Uz-Logoglu, Eda; Salor, Ozgul; Ermiş, Muammer (2016-05-01) In this paper, a multiple synchronous reference frame (MSRF) analysis framework is developed to determine the positive-and negative-sequence components of all interharmonic and harmonic currents produced by alternating current electric arc furnace (AC EAF) installations, which can be considered as balanced but asymmetrical three-phase, three-wire loads on the power system. The aim of developing the MSRF analysis framework is twofold; deep understanding of the EAF characteristics, and fast and accurate gener...
Exponential smoothing of multiple reference frame components with GPUs for real-time detection of time-varying harmonics and interharmonics of EAF currents Balouji, Ebrahim; SALOR DURNA, ÖZGÜL; Ermiş, Muammer (2017-10-01) In this research work, a multiple synchronous reference frame (MSRF) based analysis method used together with exponential smoothing (ES) to accurately obtain the time-varying harmonics and interharmonics of electric arc furnace (EAF) currents, is proposed. The proposed method has been implemented on NVIDIA Geforce GTX 960 graphics card for the parallel processing of all harmonics and interharmonics so that real-time processing of the EAF currents obtained from a measurement point of the electricity transmis...
Exponential Smoothing of Multiple Reference Frame Components With GPUs for Real-Time Detection of Time-Varying Harmonics and Interharmonics of EAF Currents Balouji, Ebrahim; Salor, Ozgul; Ermiş, Muammer (2018-11-01) In this research work, a multiple synchronous reference frame (MSRF)-based analysis method, used together with exponential smoothing (ES) to accurately obtain the time-varying harmonics and interharmonics of electric arc furnace (EAF) currents, is proposed. The proposed method has been implemented on NVIDIA Geforce GTX 960 graphics card for the parallel processing of all harmonics and interharmonics so that real-time processing of the EAF currents obtained from a measurement point of the electricity transmi...

Citation Formats

N. Köse, O. Salor, and M. K. Leblebicioğlu, “Interharmonics analysis of power signals with fundamental frequency deviation using Kalman filtering,” ELECTRIC POWER SYSTEMS RESEARCH, pp. 1145–1153, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32972.