Sensitive Load Identification Method Based on Voltage Sag Monitoring Data

Voltage sags have a huge impact on high-end companies with sensitive loads. The quality of the power supply affects the quality of the company’s products. However, the current research on the identification method of sensitive loads is more subjective. In order to qualitatively analyze the proportion of sensitive load, a sensitive load identification method based on voltage sag monitoring data is proposed. According to the change and recovery of active power before and after the sag of the electric transmission line, the active power segmentation method based on singular value decomposition is used to accurately locate the start and end moments of active power drop. The proportion of recoverable and non-recoverable sensitive loads on the line are obtained. The voltage sag monitoring data in a certain province and MATLAB/Simulink model were selected for simulation verification. Experiments show that the method proposed in this paper has a certain ability to identify sensitive loads.