A Novel Approach to Automatically Detect Power Quality Disturbances Based on Dynamic Pocket Network

Accelerating the adoption of new energy sources within the traditional grid system is a crucial step towards achieving carbon neutrality. However, this transition can introduce significant disturbances to power quality, potentially impacting the safe and stable operation of the grid. Therefore, the detection of these disturbance signals becomes paramount in maintaining grid stability. In this study, we propose the Lightweight Dynamic Pocket Network (DPNet) for automatic perturbation detection. Recognizing that existing advanced detection methods often require substantial computational resources, our proposed dynamic pocket module enables flexible control over network accuracy and complexity. The DPNet network, built upon the dynamic pocket module, facilitates automatic detection of complex perturbation signals. Through extensive experiments and visual analysis, we verify that the lightweight DPNet continues to deliver commendable performance.