Exponential smoothing of multiple reference frame components with GPUs for real-time detection of time-varying harmonics and interharmonics of EAF currents

Date

2017-10-01

Author

Balouji, Ebrahim
SALOR DURNA, ÖZGÜL
Ermiş, Muammer

Metadata

Show full item record

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

Item Usage Stats

73
views

0
downloads

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 window size 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 50 th and all interharmonics at 5Hz 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/11511/68929

DOI

https://doi.org/10.1109/ias.2017.8101815

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

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...
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...
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...
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 Loğoğlu, Eda; Salor, Özgül; Ermiş, Muammer (2015-10-18) 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 ...

Citation Formats

E. Balouji, Ö. SALOR DURNA, 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,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68929.