Synthetic Power Quality Disturbances Dataset of Single and Combined Disturbances Generated in Accordance with IEEE 1159 Specifications

The dataset encompasses a diverse array of electrical signals representing Power Quality Disturbances (PQD), both in single and combined forms, meticulously generated in adherence to the IEEE 1159 guideline. With a total of 15 different classes, each class contains 500 signals, summing up to a grand total of 7500 signals.

Each signal in the dataset is sampled at a frequency of 5 kHz, equivalent to 100 samples per cycle, ensuring precise capturing of waveform characteristics. The fundamental frequency across all signals is standardized at 50 Hz, reflecting typical power system frequencies. Additionally, all signals maintain a consistent amplitude of 1 per unit (pu), guaranteeing uniformity throughout the dataset.

The length of each signal is set to 1000 samples, equivalent to 10 cycles of the fundamental frequency, providing ample data for in-depth analysis while maintaining computational efficiency.

Crucially, the dataset includes both raw data and corresponding labels, facilitating supervised learning tasks and enabling the development and evaluation of classification algorithms. Researchers and practitioners in the field of electrical engineering can leverage this dataset to explore a myriad of topics, including signal processing, anomaly detection, fault diagnosis, and system resilience assessment, among others. The adherence to the IEEE 1159 guideline ensures that the dataset conforms to industry standards, enhancing its relevance and applicability in real-world scenarios.