Hybrid classifier for fault location in active distribution networks

Hybrid classifier for fault location in active distribution networks

Abstract This paper presents a fast hybrid fault location method for active distribution networks with distributed generation (DG) and microgrids. The method uses the voltage and current data from the measurement points at the main substation, and the connection points of DG and microgrids. The data...

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Bibliographic Details
Main Authors: Sadegh Jamali, Alireza Bahmanyar, Siavash Ranjbar
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Protection and Control of Modern Power Systems
Subjects:
Artificial neural networks
Distributed generation
Distribution networks
Fault location
K-nearest neighbors
Online Access:http://link.springer.com/article/10.1186/s41601-020-00162-y

Internet

http://link.springer.com/article/10.1186/s41601-020-00162-y

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