Research on Line Loss Identification Method of Abnormal Low-Voltage Station Area Based on k-medoids Clustering Algorithm
The study is aimed at improving the accuracy of line loss in complex grid environment by introducing clustering algorithm.A large amount of power system data is collected,and the clustering algorithm is applied to group the data to identify abnormal patterns.The results show that the clustering algorithm performs well in the identification of abnormal low-voltage areas,and is more accurate and robust than the traditional methods.In practical application,the method is successfully applied to specific grid areas,realizing real-time monitoring and accurate localization of abnormal line loss.This study provides technical support to improve the stability and efficiency of the power system,and promotes the sustainable development of the power industry.
clustering algorithmabnormal low voltage arealine loss
NETL
NSTL
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