Power and Energy
Electromagnetic reflections can alter the RF signal strength at the receiving node. This
alteration could result in the enhancement of the received signal. The work is primarily based upon passive
reflecting walls and their effect on the received signal strength under various operating conditions. The
work could further be utilized for energy harvesting purposes for the mobile phone charging applications.
The operational frequency range in this research is from 469:5MHz to 773:5MHz. The results show
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Switching vectors of an inverter with model predictive control were collected for different conditions of an induction machine. The induction machine had a rated speed of w=3000 rpm and a rated torque of T=1.20 N·m. The switching vectors were recorded as data series for the induction machine operating at different combinations of speed and torque at healthy and faulty states. Each data series consisted of 22000 switching vectors. Inter-turn short circuit fault was introduced over 2 turns (out of 104 turns) in one phase of the machine.
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This study focuses on the ability of inverters to restart the grid after a blackout, known as black start. This study used two different electrical distribution systems, such as IEEE 123 and K1, to integrate Self-synchronized Universal Droop Controller (SUDC)-based inverters. A 300- and 600-node system was built based on the IEEE 123 and K1 test grid in a real-time simulator. This study included a strategy for planning high penetration of renewable energy using grid-forming inverters for a reliable and resilient supply of electricity for critical loads.
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This dataset will contains some simulation models in Matlab/Simulink of four most used active anti-islanding methods namely Active Frequency Drift (AFD), Sandia Frequency Shift (SFS), Slip Mode frequency Shift (SMS), Sandia Voltage Shift (SVS).
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This dataset contains the following simulated information of the IEEE 14 bus system: The 24-hour load profile of all the nodes of the IEE 14 bus circuit, voltages and currents measured by the PMUs placed at optimal locations which minimizes the variance on the estimated voltage states, voltages and currents measured by the PMUs placed at sub-optimal locations.
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The dataset contains an example of energy consumption, Functioning hours and Production KPI of different stages of the experimental open pit mine, mainly the destoning, the screening, and the train loading station. The Code is an example of the prediction algorithm, and the API can be used to apply the same algorithm used in this article.
In the proposed Dataset the energy consumption data for each station are collected from power meters and stored into a database that contains functioning hours and production.
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In this report, system parameters and additional information are provided to complement the data of the paper: “Virtual Synchronous Generator for VSC-HVDC Stations with DC Voltage Control”.
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The database contains information about three test systems, including the network connected to Bus 5 of the Roy Billinton Test System and two netwroks with 93 and 135 load nodes.
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The dataset represents the input data on which the article Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs, is based. The data consist of a two-year hourly time series of measured wind speed and direction, air density, and production of two wind farms (WTs) in Croatia (Bruška and Jelinak). In addition to the two listed WTs, measurements of two nearby WTs (Glunca and Zelengrad) are also attached in training files (these WPPs are not directly analyzed in the article).
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561 Views
The switching cell with switching frequency modulation (SC-SFM) has several benefits with respect to power conversion. Some of the most important features are those present in the boost variation, denominated as interleaved boost converter with switching frequency modulation (IBC-SFM). The converter conciliates some CCM characteristics, such as, continual conduction in the input inductor and limited current effort in the active components, with characteristics of some DCM converters, such as, resistive behavior for the input, soft-switching and no reverse recovery for the diodes.
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349 Views