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Publication type : Proceedings Paper ✕Department : Elektrik-Elektronik ... ✕
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Waveform Correlation Based Harmonic Voltage Contribution Determination of Iron and Steel Plants Supplied From PCC

Özgül SALOR-DURNA

In this research work, a new method which determines the individual harmonic voltage contributions of the EAF plants supplied from a point of common coupling (PCC) to the PCC voltage is presented. EAFs are one of the most significant sources of the harmonics, especially the uncharacteristic ones, therefore it is important to be able to discriminate the amount of individual contributions from the feeders of a PCC supplying multiple EAFs. The proposed method uses the relationship derived between the correlation coefficient of the PCC voltage and the feeder current waveforms and the harmonic volt ...More

Proceedings Paper 2022 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 31 Views
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Classification of high frequency transient events buried in low frequency sampled PMU data

Özgül SALOR-DURNA

This paper presents a deep-learning based method for the classification of transient events of the power system using the data collected by a standard Phasor Measurement Unit (PMU). Although transient power system events are high-frequency variations of the voltages and currents, it leaves a trace in the PMU time-series data, which are collected at relatively much lower-frequencies. The main motivation of this study is to use low-frequency data recorded by PMU devices, widely used in the industry, for the classification of transient events, which would normally require the use of high-cost pow ...More

Proceedings Paper 2023 Mühendislik Fakültesi Proceedings 9 Views
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Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices

Mirbek TURDUEV

In this paper, we introduce the design approach of integrated photonic devices by employing reinforcement learning known as attractor selection (AttSel). Here, we combined 3D FDTD with AttSel algorithm, which is based on artificial neural networks, to achieve ultra-compact and highly efficient wavelength demultiplexers with low crosstalk such as. The presented devices consist of SOI materials, which are compatible with complementary MOS technology. Consequently, the reinforcement learning is successfully applied to design smaller and superior integrated photonic devices. Keyword: inverse desig ...More

Proceedings Paper 2023 Mühendislik Fakültesi 2023 IEEE Photonics Conference (IPC) 18 Views
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Optimal Design of Omni-directional Optical Cloaking by Annular Sectorized Unit-cells

Mirbek TURDUEV

In this manuscript, we demonstrate the design and experimental proof of an optical cloaking structure which multi-directionally conceals a perfectly electric conductor (PEC) object from an incident plane wave. The dielectric modulation around the highly reflective scattering PEC object is determined by an optimization process for multi-directional cloaking purposes. Keyword: component; formatting; insert; style; styling

Proceedings Paper 2023 Mühendislik Fakültesi 2023 IEEE Photonics Conference (IPC) 13 Views
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2D-HASAP: Two-Dimensional Heading-Aided Single-Anchor Positioning via Hidden Markov Model Map-Matching

Özgül SALOR-DURNA

This paper proposes a two-dimensonal positioning method based on a hidden Markov model map-matching scheme. The states of the hidden Markov model are generated by dividing the area of interest into a grid. At each time instant, the method considers two types of measurements: the platform's heading and the two-dimensional distance between the platform and the single-anchor. A recursive Bayesian estimator exploits these measurements to estimate the platform's position. The platform's heading measurement is used to calculate the prior probability distribution. Following this, observation likeliho ...More

Proceedings Paper 2023 Mühendislik Fakültesi IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 15 Views
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Investigation of Battery Energy Storage Utilization Strategies for Reducing the Unscheduled Power Flows in the Interconnection Lines Caused by Multiple Electric Arc Furnace Operations

Özgül SALOR-DURNA

In this paper, utilization strategies for battery energy storage systems (BESS) are assessed in order to reduce the unscheduled power flows in the interconnection lines caused by multiple electric arc furnace operations in Turkey. Turkish electricity network is synchronously connected to the European Network of Transmission System Operators for Electricity (ENTSO-E) via 3 EHV transmission lines. Extensive amount of intermittent loads like electric arc furnaces (EAF) in the electricity network cause unscheduled power deviations at the intertie lines hence Area Control Error (ACE) performance de ...More

Proceedings Paper 2023 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 7 Views
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An Electric Arc Furnace Model Based on Resynthesis Using Frequency Spectrum Distributions of EAF Currents

Özgül SALOR-DURNA

The research work presented in this paper proposes a method for modeling the behavior of the Electric Arc Furnace (EAF) currents for a tap-to-tap time based on the DFT amplitude histograms of the EAF current waves. The method is used to model the EAF current behavior separately for each phase of the EAF operation: boring, melting and refining. The model is verified by comparing the THD histograms and the flicker measurements of the original and modeled EAF current waveforms. The proposed model can be used as an EAF model in the simulation environment for various purposes before the installatio ...More

Proceedings Paper 2023 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 4 Views
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Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning

Özgül SALOR-DURNA

In this research work, deep machine learning based methods together with a novel data augmentation are developed for predicting flicker, voltage dip, harmonics and interharmonics originating from highly time-varying electric arc furnace (EAF) currents and voltage. The aim with the prediction is to counteract both the response time delays and reaction time delays of active power filters (APFs) specifically designed for electric arc furnaces (EAF). Multiple synchronous Reference frame (MSRF) analysis is used to decompose the frequency components of the EAF current and voltage waveforms into dqo ...More

Proceedings Paper 2021 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 69 Views
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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 paper, the problem of detecting the harmonic responsibility of iron and steel (I&S) plants, which are supplied from a point of common coupling (PCC) is addressed. A new harmonic responsibility measure, which does not require the instantaneous impedance measurements, is proposed to present the amount of harmonic responsibility of each plant supplied from the PCC. The algorithm is based primarily on the correlation of voltage and current signals which are measured with a time-synchronized manner at the PCC. The proposed method is first verified using both synthetic data generated in PSCA ...More

Proceedings Paper 2021 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 37 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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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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