Title
High-speed directional protection without voltage sensors for distribution feeders with distributed generation integration based on the correlation of signals and machine learning
Date Issued
01 July 2020
Access level
metadata only access
Resource Type
journal article
Author(s)
Universidad Nacional de San Juan
Publisher(s)
Elsevier Ltd
Abstract
This paper proposes a novel methodology to define fault current direction along the Distribution Feeder (DF) considering Distributed Generation (DG) integration. The proposed methodology is based on Empirical Decomposition (ED), Decision Trees (DT) and Support Vector Machine (SVM). Using ED, it is possible to determine different Principal Components (PCs) that are used are inputs in these DT and SVP classifiers. Assessment of methodology considering different faults, inception angles, fault distances, and others are carried out. Besides, the proposed methodology is tested successfully considering different distribution system topologies and by analyzing special features required by relay manufacturers. Test results highlight the efficiency of the methodology, which presents a concise design and a simple mathematical formulation in the time domain.
Volume
184
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-85081125155
Source
Electric Power Systems Research
ISSN of the container
03787796
Sources of information:
Directorio de Producción Científica
Scopus