STFT Parameters for Islanding Detection in Distributed Generation Systems

STFT parameters dataset contains time-frequency spectrum data generated from simulated voltage and current waveforms for distributed generation grid-connected systems. Wen Sun published the dataset on figshare in 2026 to support the validation of a hybrid islanding detection method. The data was produced from MATLAB/Simulink simulations based on the IEC 61850-7-420 standard.

Use Cases

• Training convolutional neural networks for islanding detection based on time-frequency spectrum features.
• Benchmarking detection algorithms for grid-connected distributed generation systems based on simulated voltage and current data.
• Analyzing the performance of Short-Time Fourier Transform for feature extraction in power system signals.

Strengths

• Dataset is associated with a reported detection accuracy of 99.84% on an independent test set.
• Methodology is described with reference to a specific simulation standard (IEC 61850-7-420).
• Data is openly shared under a CC-BY-4.0 license.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Wen Sun

Collection Method

Data was generated from MATLAB/Simulink simulations of a distributed generation grid-connected system under islanding and grid-connection conditions.

Freshness

Last updated 2026-05-28 17:36:31; freshness should be verified.