A Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network

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dc.contributor.authorManikonda, S.K.G.
dc.contributor.authorGaonkar, D.N.
dc.date.accessioned2026-02-06T06:37:29Z
dc.date.issued2019
dc.description.abstractThe escalating need for energy in the recent times is unprecedented, which is driving the penetration of renewable energy sources in distribution system in a big way. The growing number of renewable sources in a system has made the control, operation and protection of the system very complex. Among others, one of the key issues in seamless interconnection of renewable energy sources to a system is islanding. This paper proposes a new and efficient islanding detection method that employs transfer learning based technique. The results show that the proposed method can successfully classify islanding events with a good accuracy. © 2019 IEEE.
dc.identifier.citation1st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , p. 109-114
dc.identifier.urihttps://doi.org/10.1109/ICSETS.2019.8744778
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31096
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectClassification
dc.subjectDistributed Generation
dc.subjectIslanding Detection
dc.subjectMachine Learning
dc.subjectRenewable Energy Sources
dc.subjectTransfer Learning
dc.titleA Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network

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