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

Obtaining real PQD event signals directly from the electrical grid poses significant challenges for classification studies. To address this limitation, synthetic data generation becomes imperative. In this study, all generated PQD signals adhere strictly to the specifications outlined in IEEE 1159, ensuring the research's validity and applicability by closely emulating real-world PQD occurrences within the electrical grid. The proposed approach meticulously aligns all parameters of the synthesized PQD signals with the guidelines established in IEEE 1159-2019, guaranteeing that the synthetic dataset accurately reflects the characteristics and complexities of actual PQD events. This meticulous adherence to industry standards enhances the dataset's reliability and utility for classification tasks, providing researchers with a valuable resource for studying and analyzing power quality disturbances in electrical systems.