TY - JOUR
T1 - Fault Type Classification in Microgrids Including Photovoltaic DGs
AU - Hooshyar, Ali
AU - El-Saadany, Ehab F.
AU - Sanaye-Pasand, Majid
N1 - Funding Information:
We acknowledge the support of the DFG through TR33 'The Dark Universe' and the Cluster of Excellence 'Origin and Structure of the Universe'. Some calculations have been carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP). The South Pole Telescope is supported by the National Science Foundation through grant PLR-1248097. Partial support is also provided by the NSF Physics Frontier Center grant PHY-1125897 to the Kavli Institute of Cosmological Physics at the University of Chicago, the Kavli Foundation and the Gordon and Betty Moore Foundation grant GBMF 947. This work is also supported by the US Department of Energy. Galaxy cluster research at Harvard is supported by NSF grants AST-1009012 and DGE-1144152. Galaxy cluster research at SAO is supported in part by NSF grants AST-1009649 and MRI-0723073. The McGill group acknowledges funding from the National Sciences and Engineering Research Council of Canada, Canada Research Chairs programme, and the Canadian Institute for Advanced Research.
Funding Information:
We acknowledge the support of the DFG through TR33 ‘The Dark Universe’ and the Cluster of Excellence ‘Origin and Structure of the Universe’. Some calculations have been carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP). The South Pole Telescope is supported by the National Science Foundation through grant PLR-1248097. Partial support is also provided by the NSF Physics Frontier Center grant PHY-1125897 to the Kavli Institute of Cosmological Physics at the University of Chicago, the Kavli Foundation and the Gordon and Betty Moore Foundation grant GBMF 947. This work is also supported by the US Department of Energy. Galaxy cluster research at Harvard is supported by NSF grants AST-1009012 and DGE-1144152. Galaxy cluster research at SAO is supported in part by NSF grants AST-1009649 and MRI-0723073. The McGill group acknowledges funding from the National Sciences and Engineering Research Council of Canada, Canada Research Chairs programme, and the Canadian Institute for Advanced Research.
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2016/9
Y1 - 2016/9
N2 - Protective devices of smart and fault-resilient microgrids are not expected to trip the healthy phases during unbalanced short-circuits. Thus, some utilities and relay manufacturers have started contemplating single-and double-pole tripping for distribution systems. Selective phase tripping demands fault type classification. This paper reveals that existing industrial methods misidentify the fault type in microgrids that include photovoltaic distributed generations (DGs). Due to interface similarities, this paper pertains to systems with type IV wind DGs as well. Two new classifiers proposed in this paper determine the fault type accurately for not only microgrids with photovoltaic DGs, but for any three-phase system. With low computational burden, they require only local information and operate successfully for high resistance faults. Furthermore, these techniques are not affected by the system imbalance and different DG power factors over disturbances.
AB - Protective devices of smart and fault-resilient microgrids are not expected to trip the healthy phases during unbalanced short-circuits. Thus, some utilities and relay manufacturers have started contemplating single-and double-pole tripping for distribution systems. Selective phase tripping demands fault type classification. This paper reveals that existing industrial methods misidentify the fault type in microgrids that include photovoltaic distributed generations (DGs). Due to interface similarities, this paper pertains to systems with type IV wind DGs as well. Two new classifiers proposed in this paper determine the fault type accurately for not only microgrids with photovoltaic DGs, but for any three-phase system. With low computational burden, they require only local information and operate successfully for high resistance faults. Furthermore, these techniques are not affected by the system imbalance and different DG power factors over disturbances.
KW - Fault resiliency
KW - fault type classification
KW - microgrid protection
KW - photovoltaic distributed generation (PVDG)
UR - http://www.scopus.com/inward/record.url?scp=84938544138&partnerID=8YFLogxK
U2 - 10.1109/TSG.2015.2451675
DO - 10.1109/TSG.2015.2451675
M3 - Article
AN - SCOPUS:84938544138
SN - 1949-3053
VL - 7
SP - 2218
EP - 2229
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 5
M1 - 7169618
ER -
