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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...
In this work, a multiple synchronous reference frame (MSRF) based plus optimized Moving Average Filter (MAF) is employed to extract the harmonics and interharmonics components of a three-phase current waveform recorded from transformer substation that feeds Electric Arc Furnace (EAF). EAF currents are one of the most critical issues in power quality (PQ) that usually cost issues like the light flicker...
The information to be transmitted along the nervous system is encoded with the rate of fire of the neurons expressing the number of action potentials in a temporal range. Findings from experimental studies in the development of visual prosthetic systems, as a neuroprosthetic device, are of critical importance. The determination of the various working intervals required for the development of electronic...
In this paper, a new method for the classification of power quality (PQ) events of the electricity networks based on deep learning approach is presented. In contrast with the existing PQ event data analysis techniques, sampled voltage data of the PQ events are not used, but image files of the three-phase PQ event data are analyzed by taking the advantage of the success of the deep leaning approach...
Basic Boost converter topology is the most popular topology used in power factor correction circuits. The efficiency and performance of the boost converter depends on the switching frequency affecting the switching loss. This paper presents a soft-switching boost converter that used to convert photovoltaic panels output level. The converter is suitable for variable boosting factor and high efficiency...
In this study, a digital realisation of the IEC (International Electrotechnical Committee) flickermeter using root mean square (RMS) of the voltage waveform as its input, instead of the voltage waveform, is presented. The aim of this research work is to compute the flicker severity according to the IEC flickermeter standard, IEC 61000-4-15, when only the RMS values of the voltage waveform are available...
In this paper, a new method for evaluation of low-frequency voltage fluctuations, which cause light flicker, based on root-mean-square (RMS) computations of voltage waveforms, is presented. According to the IEC and IEEE standards, light flicker computation is achieved on the raw data of the voltage waveforms. However, in real world systems, since raw data storage is expensive and difficult, only RMS...
In this paper, work on assessment of rootmean-square (RMS) computation recommended in the IEC Standards for power quality event detection with respect to various signal parameters. Correctness of the RMS computation in the standard IEC 61000-4-30, has been tested for power system frequency deviations, point-on-wave changes and phase differences between the fundamental frequency and harmonics in cases...
In this work, an eigen-analysis based power quality (PQ) event data clustering and classification method has been developed, which is aimed to serve the needs of the smart-grid applications. With the proposed clustering approach, huge amount of PQ event data, which corresponds to voltage sags, swells and interruptions, are classified into finite number of classes and spatial classification of those...
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