TY - JOUR
T1 - High-speed directional protection without voltage sensors for distribution feeders with distributed generation integration based on the correlation of signals and machine learning
AU - Morales, J.
AU - Orduña, E.
AU - Villarroel, H.
AU - Quispe, J. C.
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - Power distribution faults
KW - Power system protection
KW - Relays
KW - Signal processing
KW - Wind energy integration
UR - http://www.scopus.com/inward/record.url?scp=85081125155&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/0f515db4-17c3-3565-999a-b05e16613fba/
U2 - 10.1016/j.epsr.2020.106295
DO - 10.1016/j.epsr.2020.106295
M3 - Article
AN - SCOPUS:85081125155
SN - 0378-7796
VL - 184
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 106295
ER -