Noninttusive Load Monitoring and Analysis Based on Power Disturbance Data

This paper proposed a method of monitoring typical load and analyzing load composition using disturbance data of substation. Firstly, correlation analysis method is used to analyze the correlation between substation power quality index fluctuation and user switching equipment, typical users with positive correlation will be screened out. Then, the harmonic index feature library of typical users is established by hierarchical clustering, and the monitoring of typical users is realized by using Bayesian classifier. Finally, the validity of the method is verified by real data.