Estimation of load distribution networks based on density-based clustering algorithm
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICESIT01_211
تاریخ نمایه سازی: 6 بهمن 1397
Abstract:
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.
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Authors
Payam azizi
Department of electrical engineering, University of Science and Technology of Mazandaran, iran
seyed mohammad rezaeian
Department of electrical engineering, University of Science and Technology of Mazandaran, iran
Alireza Zakaria Zadeh
Department of electrical engineering, University of Science and Technology of Mazandaran, iran