An Optimized Fcm Method For Electric Load Clustering

Load modeling is known as one of the most difficult problems in the power system of the world. It is necessary to further research on the load characteristics analysis and load model can be constructed practically via appropriate clustering method to increase the precision and credibility of the power system analysis, control and simulation. Considering the deficiency of traditional Hard C-Means (HCM), this paper presents an optimized Fuzzy C-Means (FCM) method for the static load characteristics clustering of 48 substations in Hunan province power grid. Numbers of substation nodes to install measurement units and the location of substations can be inferred from the clustering results, which provides a significant approach for the research on practical load modeling engineering.