Power Electronics
This dataset aims to provide more insight into magnetic core losses at high frequency (MHz range) with superimposed DC bias in ferrites. The tested MnZn ferrite has a nominal relative permeability of 1500 (PC50) and 800 (PC200), which was tested at frequency from 500 kHz to 3 MHz. The DC bias appears to create a shift in the Steinmetz parameters, in particular the ki and β are affected the most. Higher DC bias creates higher losses gain and higher operating frequency makes the relative losses increase lower.
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These data were taken from three oscilloscopes (Tektronix TPS 2014B, 2024B and MDO4104C) connected to an inductive power transfer system utilizing the three-phase to single-phase midpoint matrix converter with a free-wheeling switch. They were taken under various transient and steady-state conditions. The 4 attached ZIP files contain 21 CSV files in total, with its own README.txt describing the data and oscilloscope channel configurations. Additionally, each ZIP file is supplied with a MATLAB m-file script to plot the data.
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This dataset contains (1) the Simulink model of a three-phase photovoltaic power system with passive anti-islanding protections like over/under current (OUC), over/under voltage (OUV), over/under frequency (OUF), rate of change of frequency (ROCOF), and dc-link voltage and (2) the results in the voltage source converter and the point of common coupling of the photovoltaic system during islanding operation mode and detection times of analyzed anti-islanding methods.
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The LCL filter design procedure presented here is similar to that presented in references [1] and [2]. Here, the procedure is presented in a step-by-step way and the simulation file is freely available on http://busarello.prof.ufsc.br/
[1] Teodorescu, R. ; Liserre, M. ; Rodriguez, P. . Grid Converters for Photovoltaic and Wind Power Systems. 2011, Wiley.
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Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems
In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.
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