Estimation of load distribution networks based on density-based clustering algorithm

In this paper, the density of the load profile is determined first, and for each density, the epsilon radius is determined.Then the density-based algorithm is applied to the data set, with the parameters obtained.To evaluate this method, Davis-Bouldin Validation Index has been used. After clustering the existing load profile, the lost load is estimated and analyzed. The proposed method is based on a distribution feeder with 10 load points and randomly generated 1000 load profiles.The results of load estimation and its comparison with actual load values indicate that the proposed method is desirable.

کلیدواژه ها:

Distribution Network ، Load Estimation ، Density Clustering ، Household Subscribers