Power and Energy
The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.
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12299 Views
The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.
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8465 Views
The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.
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7080 Views
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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70 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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182 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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103 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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239 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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45 Views
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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243 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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335 Views