PV Inverter Experimental Dataset Version 2 with 100 Percent Power

Description

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and controllable DC supply to emulate AC and DC side characteristics. The experiments were performed at NREL's Energy Systems Integration Facility. The PV inverter is tested under 100%, 75%, 50%, 25% load conditions. In the first dataset, for each operating condition, controllable AC source voltage is varied from 0.88 to 1.09 per unit (p.u) with a step value of 0.025 p.u while keeping the frequency at 60 Hz. In the second dataset, under similar load conditions (100%, 75%, 50%, 25% ), the frequency of the controllable AC source voltage was varied from 59.4 Hz to 60.45 Hz with a step value of 0.2 Hz. Voltage and frequency range is chosen based on inverter protection. Voltages and currents on DC and AC side are included in the dataset.

Resources

Name Format Description Link
5 This file contains the experimental data from voltage magnitude step change (controllable AC source). https://data.nrel.gov/system/files/217/1683307983-Voltage_step_change.csv
5 This file contains the dataset for changes in frequency (controllable AC source). https://data.nrel.gov/system/files/217/1683307983-Frequency_step_change.csv
5 This file contains the experimental data from voltage magnitude step change (controllable AC source). https://data.nlr.gov/system/files/217/1683307983-Voltage_step_change.csv
5 This file contains the dataset for changes in frequency (controllable AC source). https://data.nlr.gov/system/files/217/1683307983-Frequency_step_change.csv

Tags

  • scikit-learn
  • database-for-model-validation
  • artificial-intelligence
  • pytorch
  • data-visualizations
  • pv-inverter
  • reinforcement-learning
  • data-analysis
  • tensorflow
  • database-for-artificial-intelligence-training
  • machine-learning
  • database-for-inverter-characterization

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