High-speed directional protection without voltage sensors for distribution feeders with distributed generation integration based on the correlation of signals and machine learning

•A novel algorithm to identify current flow direction with distributed generation is presented.•The method uses empirical decomposition to determine the main parameters.•The proposed algorithm is tested varying the fault resistance, distance and others. This paper proposes a novel methodology to def...

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Bibliographic Details
Published in:Electric power systems research 2020-07, Vol.184, p.106295, Article 106295
Main Authors: Morales, J., Orduña, E., Villarroel, H., Quispe, J.C.
Format: Article
Language:English
Subjects:
Current distribution
Decision trees
Distributed generation
Electricity distribution
Electricity generation
Empirical analysis
Fault diagnosis
Feeders
Machine learning
Methodology
Power distribution faults
Power system protection
Relays
Signal processing
Support vector machines
Surge protectors
Topology
Wind energy integration
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Summary:•A novel algorithm to identify current flow direction with distributed generation is presented.•The method uses empirical decomposition to determine the main parameters.•The proposed algorithm is tested varying the fault resistance, distance and others. 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.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2020.106295