Power and Energy
The paper describes the way of extending a basicdiode SPICE model for a possibility to simulate realistic reverserecovery of power diodes. The proposed macro model uses allbasic diode model characteristics and processes the diffusioncapacitance current for adjusting reverse recovery. A Windowsapplication tool was made to simplify creating a new diode SPICEsub-model using the manufacturer data sheet or measured data.Experimental data are presented for comparison of the proposedmodel and real diode reverse recovery
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This dataset provides a simulation file for the Interleaved Vienna Rectifier with Pulse-Frequency Modulation (IVR-PFM) topology, developed for three-phase, three-wire applications. The simulation is designed for use with PSIM software and is configured to operate with a 220 V, 60 Hz line input voltage, delivering 3 kW of output power at 800 V. The IVR-PFM behaves as a resistive load at the input, with the equivalent resistance defined as Re = 4Lmfs, where Lm is the magnetizing inductance and fs is the switching frequency.
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This dataset includes the original IAWE, REDD, and UKDALE datasets, as well as the pre-processed tensor data used in the research paper. The files with the .h5 extension are the original datasets, while the .npy files are the tensorized data used in the paper.
The IAWE dataset is a high-resolution energy consumption dataset collected from a single household in India, recorded at a 1-second interval. It includes data on various appliances such as air conditioners, refrigerators, and lighting systems, making it particularly useful for studying load patterns in developing countries.
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The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.
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148 Views
This dataset presents the capacity fade data for eight Lithium Titanate Oxide (LTO) battery cells over progressive charge-discharge cycles. The measurements, recorded at intervals of 250 cycles up to 3500 cycles, track the aging effects on battery capacity over time. The aging procedure includes a rest period of 10 minutes between charging and discharging cycles. Each charging and discharging process was conducted with a constant current of 1 ampere (A). The maximum charge voltage was set to 2.75 volts (V), while the minimum discharge voltage was set at 1.30 V.
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276 Views
A number of disruptive technologies are expected to impact on future power systems (PS). Electric vehicles (EV), photovoltaic systems (PV), wind turbines (WT), energy storage systems (ESS), vehicle to grid (V2G), and demand response (DR) are seen as those with the most significant potential impact on the PS. Whereas various aspects of the integration of these six technologies into PS are well researched, the technologies are often studied in isolation from each other or in small subsets (e.g. PV and ESS).
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136 Views
A transformer temperature rise test was conducted using a temperature rise recorder (JIK-8/16 Temperature Recorder) under room temperature conditions. With a water flow rate of 10L/min, the input active power was 393.23kW, the input reactive power was 305.64kvar, and the input current was 744.6A. The power loss was 8.5kW, resulting in a power conversion efficiency of 97.8%.
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298 Views
In the experiments, data is collected through tests on a LIB, specifically the Panasonic NCR186500BD, which has a capacity of 3200 mAh, a voltage of 3.6 V and is used as an energy storage unit by Tesla electric vehicles. To simulate different discharge modes of an EV battery, the Dynamic Stress Test (DST), Beijing Dynamic Stress Test (BJDST), and Federal Urban Driving Schedule (FUDS) are used as test subjects. The tests are conducted at temperatures ranging from 10 °C to 45 °C in the Energy Optimization and Power Security (EOPS) Laboratory at Hunan University, China.
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This dataset includes the system data and equivalent Distributed Energy Resource (DER) allocations for three test cases: a 10-bus system, the IEEE 69-bus radial test feeder, and an 873-bus radial test feeder. The IEEE 69-bus system data is based on the work of Baran and Wu ("Optimal capacitor placement on radial distribution systems," IEEE Trans. Power Deliv., vol. 4, no. 1, pp. 725-734, 1989).
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419 Views
The dataset contains IEEE 30-bus, 118-bus, 300-bus dataset we generated for learning for unit commitment. The dataset consists of data from both normal and extended time scales, with a total time span of one year. A data point is defined as the load demand for each period and the on/off status of the units at that moment. This dataset can be used to train a neural network to learn the mapping from load demand information to the on/off status of the units.
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418 Views