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Databases : IEEE Xplore ✕
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Harmonic Contribution Detection of Iron and Steel Plants Based on Correlation of Time-Synchronized Current and Voltage Signals

Özgül SALOR-DURNA

In this research work, a new harmonic responsibility measure is proposed to extract the amount of harmonic responsibility of each plant supplied from the point of common coupling (PCC). The proposed method uses a function of the correlation coefficients between the voltage and current signals measured synchronously at the PCC. After the verification of the method on synthetic data generated in simulation environment, field data measurements of voltage and current are used to test the practicability of the proposed method. Harmonic contributions of the iron and steel (I&S) plants obtained using ...More

Article 2022 Mühendislik Fakültesi IEEE Transactions on Industry Applications58 ( 6 ) 44 Views
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Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly from Waveform Samples Using Deep Learning Framework

Özgül SALOR-DURNA

In this paper, a method to generate large amounts of Electric Arc Furnace (EAF) currents with harmonics simulating the actual EAF operation characteristics to be used with deep learning (DL) applications of harmonic estimation is investigated. For this purpose, the behavior of the EAF current harmonics is examined in statistical terms using the field data collected at a transformer substation supplying an EAF plant. Then, a significantly larger amount of EAF current data is generated using the statistics mimicking the real EAF behavior to train the DL-based harmonic estimator. The outcomes of ...More

Proceedings Paper 2020 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 82 Views
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A Kalman Filter Based Transient State Estimation Method Applicable to Whole or Specific Region of Power Systems Having Known and Unknown Loads

Mehmet KARADENİZ

On a power network, events are desired to be monitored to find its reasons and to take preventive action. Today, power quality measurement devices are used to obtain synchronous measurement data of network, however these devices are expensive and it is not considered a practical option to place one on each node of the network. Therefore, methods estimating voltages and currents at non-measured points of the network are required. In this study, a new power system transient state estimation method is designed to estimate transientsin a power network in which some of the loads are unknown. By thi ...More

Proceedings Paper 2017 Mühendislik Fakültesi 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE) 47 Views
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Graphical Method for Examining Complex Natural Frequencies of Dispersive Materials

Mehmet ERTUĞRUL

A graphical method is extended to and applied for visual inspection of solution patterns (region of complex natural frequencies sn) in the complex s-plane for dispersive materials characterized by the Debye and Lorentz models. These patterns are in the form of exponential decay and C-shaped profiles for the Debye and Lorentz models, respectively. Their forms are observed to be affected (e.g., moving left/right) in different manners with a variation of dispersion parameters. This method, thanks to its visual inspection capability, can help in analyzing/synthesizing filters and frequency-selecti ...More

Article 2021 Mühendislik Fakültesi IEEE Microwave and Wireless Components Letters31 ( 5 ) 132 Views
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Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly from Waveform Samples Using Deep Learning Framework

Özgül SALOR-DURNA

In this research work, a deep learning (DL)-based method for the fast and accurate analysis of current harmonics of electric arc furnaces (EAF) is proposed. For such a system, a large amount of EAF current data is required for the training phase of the DL-based structure, which is not only a thorny but also an expensive procedure. Hence, the second focus of this research work is to gain the ability to generate EAF currents with realistic harmonic contents based on a much smaller amount of field data of EAF currents. For this purpose, EAF current data, recorded at a transformer substation suppl ...More

Article 2021 Mühendislik Fakültesi IEEE Transactions on Industry Applications57 ( 6 ) 54 Views
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Complex Permittivity and Thickness Evaluation of Low-Loss Dielectrics From Uncalibrated Free-Space Time-Domain Measurements

Mehmet ERTUĞRUL

A free-space time-domain method is proposed to retrieve dielectric constant (epsilon r), conductivity (sigma e), and thickness (d) of metal-backed low-loss dielectric samples using calibration-independent reflected power peak measurements. Its algorithm is validated by numerical calculations and simulations (CST Microwave Studio) using a sine-modulated Gaussian window. A sensitivity analysis is followed to examine its performance considering the dependencies of reflected power peaks with respect to epsilon r and sigma e. Free-space time-domain measurements have been implemented after transform ...More

Article 2021 Mühendislik Fakültesi IEEE Transactions on Geoscience and Remote Sensing60 ( Published online: 02 July 2021 ) 108 Views
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Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents

Özgül SALOR-DURNA

In this article, a new approach to compensate both the response and reaction times of active power filters (APF) for special cases of highly time-varying harmonics and interharmonics of electric arc furnace (EAF) currents is proposed. Instead of using the classical approach of taking a window of past current samples and analyzing the data, future samples of EAF currents are predetected using a deep learning (DL)-based method and then analyzed, which provides the opportunity to make real-time analysis. This can also serve the needs of other possible APF applications. Two different methods for p ...More

Article 2020 Mühendislik Fakültesi IEEE Transactions on Industry Applications56 ( 3 ) 90 Views
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Determination of Harmonic Current Responsibility at Point of Common Coupling of the Electrical System by Correlation of Voltage and Current Signals

Özgül SALOR-DURNA

In this study, the harmonic current responsibilites of the utility and the loads at the point of common coupling in the electrical system with the correlation analysis of measured current and voltage signals is discussed. Using the correlation coefficient obtained by correlation analysis, it is possible to determine who is responsible of which harmonic frequecy component, the loads or the utility. In PSCAD / EMTDC computer simulation, current and voltage signals obtained by preparing different circuit diagrams are processed in MATLAB environment and the accuracy of the simulation results are t ...More

Proceedings Paper 2020 Mühendislik Fakültesi 2020 28th Signal Processing and Communications Applications Conference (SIU) 93 Views
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