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Exponential Smoothing of Multiple Reference Frame Components With GPUs for Real-Time Detection of Time-Varying Harmonics and Interharmonics of EAF Currents
Date
2018-11-01
Author
Balouji, Ebrahim
Salor, Ozgul
Ermiş, Muammer
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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 transmission system is possible. To obtain the best possible accuracy for the EAF current harmonics and interharmonics estimation, the ES order has been optimized specific to each harmonic and interharmonic frequency component. It has been shown on field data that the implemented system is capable of successfully estimating all harmonics up to the 50th and all interharmonics at 5-Hz resolution in real time. Moreover, active filtering of certain harmonics and interharmonics has been achieved in the simulation environment and it has been shown that successful real-time filtering of any harmonic and interharmonic component is possible with the proposed MSRF+ES method. Hence, it can be concluded that the proposed system can be used to generate reference signals for the controllers of the new technology compensation systems such as active power filters.
Subject Keywords
Active Power Filter (APF)
,
Exponential Smoothing (ES)
,
Electric Arc Furnace (EAF)
,
Graphical Processing Unit (GPU)
,
Harmonics
,
Interharmonics
,
Multiple Synchronous Reference Frame (MSRF)
,
Parallel Processing; Power Quality (PQ)
URI
https://hdl.handle.net/11511/31554
Journal
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
DOI
https://doi.org/10.1109/tia.2018.2849059
Collections
Graduate School of Natural and Applied Sciences, Article
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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...
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Real-Time Detection of Interharmonics and Harmonics of AC Electric Arc Furnaces on GPU Framework
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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...
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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 two -fold; deep understanding of the EAF characteristics, and fast and accurate ...
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BibTeX
E. Balouji, O. Salor, and M. Ermiş, “Exponential Smoothing of Multiple Reference Frame Components With GPUs for Real-Time Detection of Time-Varying Harmonics and Interharmonics of EAF Currents,”
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
, pp. 6566–6575, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31554.